[
  {
    "model": "app.judge",
    "pk": 1,
    "fields": {
      "kind": "rubric",
      "name": "strict rubric model",
      "score_offset": -3
    }
  },
  {
    "model": "app.judge",
    "pk": 2,
    "fields": {
      "kind": "rubric",
      "name": "balanced rubric model",
      "score_offset": 0
    }
  },
  {
    "model": "app.judge",
    "pk": 3,
    "fields": {
      "kind": "rubric",
      "name": "lenient rubric model",
      "score_offset": 3
    }
  },
  {
    "model": "app.prompt",
    "pk": 1,
    "fields": {
      "name": "meeting-action-items",
      "owner_team": "growth",
      "created_at": "2026-01-17T10:46:36Z"
    }
  },
  {
    "model": "app.prompt",
    "pk": 2,
    "fields": {
      "name": "translation-checker",
      "owner_team": "finance systems",
      "created_at": "2026-01-20T12:11:20Z"
    }
  },
  {
    "model": "app.prompt",
    "pk": 3,
    "fields": {
      "name": "ticket-summary",
      "owner_team": "growth",
      "created_at": "2026-02-23T15:01:11Z"
    }
  },
  {
    "model": "app.prompt",
    "pk": 4,
    "fields": {
      "name": "release-note-draft",
      "owner_team": "support tooling",
      "created_at": "2026-02-23T16:13:56Z"
    }
  },
  {
    "model": "app.prompt",
    "pk": 5,
    "fields": {
      "name": "contract-clause-finder",
      "owner_team": "knowledge base",
      "created_at": "2026-02-22T16:50:25Z"
    }
  },
  {
    "model": "app.prompt",
    "pk": 6,
    "fields": {
      "name": "invoice-field-extractor",
      "owner_team": "growth",
      "created_at": "2026-01-08T14:56:08Z"
    }
  },
  {
    "model": "app.prompt",
    "pk": 7,
    "fields": {
      "name": "escalation-detector",
      "owner_team": "knowledge base",
      "created_at": "2026-02-27T09:52:41Z"
    }
  },
  {
    "model": "app.prompt",
    "pk": 8,
    "fields": {
      "name": "sql-explainer",
      "owner_team": "knowledge base",
      "created_at": "2026-02-12T09:05:17Z"
    }
  },
  {
    "model": "app.prompt",
    "pk": 9,
    "fields": {
      "name": "tone-softener",
      "owner_team": "support tooling",
      "created_at": "2026-02-02T10:02:25Z"
    }
  },
  {
    "model": "app.prompt",
    "pk": 10,
    "fields": {
      "name": "refund-eligibility-check",
      "owner_team": "support tooling",
      "created_at": "2026-01-22T11:27:20Z"
    }
  },
  {
    "model": "app.prompt",
    "pk": 11,
    "fields": {
      "name": "order-status-reply",
      "owner_team": "support tooling",
      "created_at": "2026-02-26T17:38:54Z"
    }
  },
  {
    "model": "app.prompt",
    "pk": 12,
    "fields": {
      "name": "product-description-writer",
      "owner_team": "support tooling",
      "created_at": "2026-02-19T21:36:15Z"
    }
  },
  {
    "model": "app.prompt",
    "pk": 13,
    "fields": {
      "name": "faq-answer",
      "owner_team": "finance systems",
      "created_at": "2026-01-26T16:24:39Z"
    }
  },
  {
    "model": "app.prompt",
    "pk": 14,
    "fields": {
      "name": "feedback-theme-tagger",
      "owner_team": "growth",
      "created_at": "2026-01-24T11:24:02Z"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 1,
    "fields": {
      "prompt": 5,
      "version_no": 1,
      "created_at": "2026-02-27T07:29:13Z",
      "author": "Benton",
      "change_note": "Added two worked examples to the instructions.",
      "template_tokens": "168",
      "underlying_quality": "52.3"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 2,
    "fields": {
      "prompt": 9,
      "version_no": 1,
      "created_at": "2026-02-06T01:39:34Z",
      "author": "Dallin",
      "change_note": "Reordered the context so the question comes last.",
      "template_tokens": "162",
      "underlying_quality": "50.9"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 3,
    "fields": {
      "prompt": 14,
      "version_no": 1,
      "created_at": "2026-01-27T06:25:55Z",
      "author": "Felipa",
      "change_note": "Moved the output format to the end of the prompt.",
      "template_tokens": "177",
      "underlying_quality": "55.7"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 4,
    "fields": {
      "prompt": 11,
      "version_no": 1,
      "created_at": "2026-03-01T01:47:06Z",
      "author": "Ana",
      "change_note": "Added a refusal instruction for questions outside the product.",
      "template_tokens": "140",
      "underlying_quality": "59.3"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 5,
    "fields": {
      "prompt": 6,
      "version_no": 1,
      "created_at": "2026-01-09T15:47:04Z",
      "author": "Jeffery",
      "change_note": "Split one long instruction into numbered steps.",
      "template_tokens": "153",
      "underlying_quality": "52.5"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 6,
    "fields": {
      "prompt": 14,
      "version_no": 2,
      "created_at": "2026-01-31T13:43:46Z",
      "author": "Joanny",
      "change_note": "Removed an instruction that contradicted the style guide.",
      "template_tokens": "196",
      "underlying_quality": "51.0"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 7,
    "fields": {
      "prompt": 14,
      "version_no": 3,
      "created_at": "2026-02-04T19:50:26Z",
      "author": "Riley",
      "change_note": "Added two worked examples to the instructions.",
      "template_tokens": "176",
      "underlying_quality": "52.4"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 8,
    "fields": {
      "prompt": 11,
      "version_no": 2,
      "created_at": "2026-03-07T22:31:09Z",
      "author": "Jonatan",
      "change_note": "Listed the allowed labels explicitly.",
      "template_tokens": "171",
      "underlying_quality": "61.9"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 9,
    "fields": {
      "prompt": 1,
      "version_no": 1,
      "created_at": "2026-01-24T05:03:47Z",
      "author": "Dion",
      "change_note": "Reworded the tone guidance after a review comment.",
      "template_tokens": "143",
      "underlying_quality": "56.7"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 10,
    "fields": {
      "prompt": 10,
      "version_no": 1,
      "created_at": "2026-01-23T18:57:30Z",
      "author": "Cortney",
      "change_note": "Replaced the long preamble with three short rules.",
      "template_tokens": "165",
      "underlying_quality": "58.4"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 11,
    "fields": {
      "prompt": 3,
      "version_no": 1,
      "created_at": "2026-03-02T08:43:59Z",
      "author": "Dante",
      "change_note": "Swapped the persona line for a plain task statement.",
      "template_tokens": "176",
      "underlying_quality": "61.9"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 12,
    "fields": {
      "prompt": 4,
      "version_no": 1,
      "created_at": "2026-02-28T02:15:46Z",
      "author": "Taylor",
      "change_note": "Added a rule for amounts that carry a currency sign.",
      "template_tokens": "141",
      "underlying_quality": "54.1"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 13,
    "fields": {
      "prompt": 9,
      "version_no": 2,
      "created_at": "2026-02-11T22:15:21Z",
      "author": "Jose",
      "change_note": "Removed an instruction that contradicted the style guide.",
      "template_tokens": "158",
      "underlying_quality": "58.0"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 14,
    "fields": {
      "prompt": 3,
      "version_no": 2,
      "created_at": "2026-03-08T22:17:24Z",
      "author": "Santino",
      "change_note": "Added two worked examples to the instructions.",
      "template_tokens": "172",
      "underlying_quality": "56.1"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 15,
    "fields": {
      "prompt": 2,
      "version_no": 1,
      "created_at": "2026-01-23T09:21:22Z",
      "author": "Kayli",
      "change_note": "Told the model to say when the source does not contain the answer.",
      "template_tokens": "180",
      "underlying_quality": "53.9"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 16,
    "fields": {
      "prompt": 8,
      "version_no": 1,
      "created_at": "2026-02-14T17:40:17Z",
      "author": "Elbert",
      "change_note": "Reworded the tone guidance after a review comment.",
      "template_tokens": "155",
      "underlying_quality": "53.6"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 17,
    "fields": {
      "prompt": 10,
      "version_no": 2,
      "created_at": "2026-01-31T07:40:36Z",
      "author": "Wallace",
      "change_note": "Told the model to say when the source does not contain the answer.",
      "template_tokens": "171",
      "underlying_quality": "49.1"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 18,
    "fields": {
      "prompt": 8,
      "version_no": 2,
      "created_at": "2026-02-23T15:34:45Z",
      "author": "Anastasia",
      "change_note": "Split one long instruction into numbered steps.",
      "template_tokens": "166",
      "underlying_quality": "56.1"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 19,
    "fields": {
      "prompt": 7,
      "version_no": 1,
      "created_at": "2026-03-03T04:47:03Z",
      "author": "Ardella",
      "change_note": "Listed the allowed labels explicitly.",
      "template_tokens": "155",
      "underlying_quality": "53.7"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 20,
    "fields": {
      "prompt": 8,
      "version_no": 3,
      "created_at": "2026-03-03T00:38:58Z",
      "author": "Birdie",
      "change_note": "Asked for a short reasoning line before the answer.",
      "template_tokens": "184",
      "underlying_quality": "50.7"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 21,
    "fields": {
      "prompt": 12,
      "version_no": 1,
      "created_at": "2026-02-24T11:13:37Z",
      "author": "Emily",
      "change_note": "Removed an instruction that contradicted the style guide.",
      "template_tokens": "181",
      "underlying_quality": "45.9"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 22,
    "fields": {
      "prompt": 4,
      "version_no": 2,
      "created_at": "2026-03-10T02:07:24Z",
      "author": "Arjun",
      "change_note": "Added two worked examples to the instructions.",
      "template_tokens": "189",
      "underlying_quality": "57.1"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 23,
    "fields": {
      "prompt": 4,
      "version_no": 3,
      "created_at": "2026-03-17T22:01:55Z",
      "author": "Verda",
      "change_note": "Added two worked examples to the instructions.",
      "template_tokens": "193",
      "underlying_quality": "50.5"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 24,
    "fields": {
      "prompt": 12,
      "version_no": 2,
      "created_at": "2026-02-27T13:40:35Z",
      "author": "Sheldon",
      "change_note": "Swapped the persona line for a plain task statement.",
      "template_tokens": "171",
      "underlying_quality": "58.8"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 25,
    "fields": {
      "prompt": 12,
      "version_no": 3,
      "created_at": "2026-03-03T17:36:35Z",
      "author": "Jeanie",
      "change_note": "Asked for a short reasoning line before the answer.",
      "template_tokens": "196",
      "underlying_quality": "55.8"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 26,
    "fields": {
      "prompt": 10,
      "version_no": 3,
      "created_at": "2026-02-07T23:19:52Z",
      "author": "Jacklyn",
      "change_note": "Asked for a short reasoning line before the answer.",
      "template_tokens": "209",
      "underlying_quality": "55.7"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 27,
    "fields": {
      "prompt": 7,
      "version_no": 2,
      "created_at": "2026-03-09T02:07:39Z",
      "author": "Jacky",
      "change_note": "Split one long instruction into numbered steps.",
      "template_tokens": "195",
      "underlying_quality": "55.8"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 28,
    "fields": {
      "prompt": 5,
      "version_no": 2,
      "created_at": "2026-03-05T02:29:54Z",
      "author": "Malachi",
      "change_note": "Swapped the persona line for a plain task statement.",
      "template_tokens": "182",
      "underlying_quality": "55.7"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 29,
    "fields": {
      "prompt": 10,
      "version_no": 4,
      "created_at": "2026-02-14T06:36:32Z",
      "author": "Matilda",
      "change_note": "Capped the answer length at five sentences.",
      "template_tokens": "222",
      "underlying_quality": "58.5"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 30,
    "fields": {
      "prompt": 4,
      "version_no": 4,
      "created_at": "2026-03-23T08:36:12Z",
      "author": "Mavis",
      "change_note": "Shortened the system text to save input tokens.",
      "template_tokens": "230",
      "underlying_quality": "57.6"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 31,
    "fields": {
      "prompt": 3,
      "version_no": 3,
      "created_at": "2026-03-13T05:36:05Z",
      "author": "Donavon",
      "change_note": "Replaced the long preamble with three short rules.",
      "template_tokens": "192",
      "underlying_quality": "53.2"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 32,
    "fields": {
      "prompt": 9,
      "version_no": 3,
      "created_at": "2026-02-16T11:46:06Z",
      "author": "Kris",
      "change_note": "Added two worked examples to the instructions.",
      "template_tokens": "199",
      "underlying_quality": "60.1"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 33,
    "fields": {
      "prompt": 14,
      "version_no": 4,
      "created_at": "2026-02-12T23:34:04Z",
      "author": "Tamia",
      "change_note": "Swapped the persona line for a plain task statement.",
      "template_tokens": "229",
      "underlying_quality": "59.6"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 34,
    "fields": {
      "prompt": 1,
      "version_no": 2,
      "created_at": "2026-01-28T10:28:59Z",
      "author": "Lorena",
      "change_note": "Listed the allowed labels explicitly.",
      "template_tokens": "168",
      "underlying_quality": "58.2"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 35,
    "fields": {
      "prompt": 5,
      "version_no": 3,
      "created_at": "2026-03-13T13:05:51Z",
      "author": "Bryon",
      "change_note": "Swapped the persona line for a plain task statement.",
      "template_tokens": "179",
      "underlying_quality": "58.4"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 36,
    "fields": {
      "prompt": 1,
      "version_no": 3,
      "created_at": "2026-02-03T00:58:33Z",
      "author": "Blair",
      "change_note": "Added a rule for amounts that carry a currency sign.",
      "template_tokens": "193",
      "underlying_quality": "59.2"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 37,
    "fields": {
      "prompt": 13,
      "version_no": 1,
      "created_at": "2026-01-31T08:19:54Z",
      "author": "Felipe",
      "change_note": "Pinned the answer to a fixed JSON shape.",
      "template_tokens": "173",
      "underlying_quality": "51.7"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 38,
    "fields": {
      "prompt": 12,
      "version_no": 4,
      "created_at": "2026-03-07T04:01:51Z",
      "author": "Irving",
      "change_note": "Replaced the long preamble with three short rules.",
      "template_tokens": "203",
      "underlying_quality": "64.3"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 39,
    "fields": {
      "prompt": 2,
      "version_no": 2,
      "created_at": "2026-01-30T11:18:57Z",
      "author": "Elinore",
      "change_note": "Added a rule for amounts that carry a currency sign.",
      "template_tokens": "169",
      "underlying_quality": "50.0"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 40,
    "fields": {
      "prompt": 14,
      "version_no": 5,
      "created_at": "2026-02-22T00:30:07Z",
      "author": "Johathan",
      "change_note": "Told the model to say when the source does not contain the answer.",
      "template_tokens": "240",
      "underlying_quality": "59.2"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 41,
    "fields": {
      "prompt": 11,
      "version_no": 3,
      "created_at": "2026-03-14T05:48:23Z",
      "author": "Veronica",
      "change_note": "Added a refusal instruction for questions outside the product.",
      "template_tokens": "181",
      "underlying_quality": "48.3"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 42,
    "fields": {
      "prompt": 10,
      "version_no": 5,
      "created_at": "2026-02-20T13:21:15Z",
      "author": "Myrl",
      "change_note": "Split one long instruction into numbered steps.",
      "template_tokens": "226",
      "underlying_quality": "62.8"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 43,
    "fields": {
      "prompt": 14,
      "version_no": 6,
      "created_at": "2026-02-28T11:46:15Z",
      "author": "Paul",
      "change_note": "Split one long instruction into numbered steps.",
      "template_tokens": "269",
      "underlying_quality": "61.1"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 44,
    "fields": {
      "prompt": 2,
      "version_no": 3,
      "created_at": "2026-02-05T01:52:43Z",
      "author": "Doyle",
      "change_note": "Asked for a short reasoning line before the answer.",
      "template_tokens": "193",
      "underlying_quality": "59.2"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 45,
    "fields": {
      "prompt": 7,
      "version_no": 3,
      "created_at": "2026-03-12T02:52:38Z",
      "author": "Rosemary",
      "change_note": "Listed the allowed labels explicitly.",
      "template_tokens": "223",
      "underlying_quality": "59.9"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 46,
    "fields": {
      "prompt": 6,
      "version_no": 2,
      "created_at": "2026-01-14T07:22:14Z",
      "author": "Mozell",
      "change_note": "Removed an instruction that contradicted the style guide.",
      "template_tokens": "175",
      "underlying_quality": "53.9"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 47,
    "fields": {
      "prompt": 1,
      "version_no": 4,
      "created_at": "2026-02-12T10:49:42Z",
      "author": "Eleanora",
      "change_note": "Removed an instruction that contradicted the style guide.",
      "template_tokens": "234",
      "underlying_quality": "60.0"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 48,
    "fields": {
      "prompt": 13,
      "version_no": 2,
      "created_at": "2026-02-04T03:09:49Z",
      "author": "Mike",
      "change_note": "Told the model to say when the source does not contain the answer.",
      "template_tokens": "162",
      "underlying_quality": "57.5"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 49,
    "fields": {
      "prompt": 6,
      "version_no": 3,
      "created_at": "2026-01-20T08:36:42Z",
      "author": "Kaleigh",
      "change_note": "Listed the allowed labels explicitly.",
      "template_tokens": "187",
      "underlying_quality": "60.5"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 50,
    "fields": {
      "prompt": 3,
      "version_no": 4,
      "created_at": "2026-03-21T06:25:26Z",
      "author": "Flavio",
      "change_note": "Moved the output format to the end of the prompt.",
      "template_tokens": "222",
      "underlying_quality": "60.5"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 51,
    "fields": {
      "prompt": 11,
      "version_no": 4,
      "created_at": "2026-03-21T08:33:02Z",
      "author": "Dexter",
      "change_note": "Shortened the system text to save input tokens.",
      "template_tokens": "209",
      "underlying_quality": "57.9"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 52,
    "fields": {
      "prompt": 7,
      "version_no": 4,
      "created_at": "2026-03-16T00:23:21Z",
      "author": "Ethan",
      "change_note": "Listed the allowed labels explicitly.",
      "template_tokens": "210",
      "underlying_quality": "63.3"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 53,
    "fields": {
      "prompt": 11,
      "version_no": 5,
      "created_at": "2026-03-25T22:15:24Z",
      "author": "Adella",
      "change_note": "Asked for a short reasoning line before the answer.",
      "template_tokens": "252",
      "underlying_quality": "60.5"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 54,
    "fields": {
      "prompt": 7,
      "version_no": 5,
      "created_at": "2026-03-23T05:10:38Z",
      "author": "Brown",
      "change_note": "Added two worked examples to the instructions.",
      "template_tokens": "248",
      "underlying_quality": "58.3"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 55,
    "fields": {
      "prompt": 5,
      "version_no": 4,
      "created_at": "2026-03-22T23:38:52Z",
      "author": "Brielle",
      "change_note": "Told the model to say when the source does not contain the answer.",
      "template_tokens": "199",
      "underlying_quality": "54.3"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 56,
    "fields": {
      "prompt": 9,
      "version_no": 4,
      "created_at": "2026-02-25T08:10:19Z",
      "author": "Lenny",
      "change_note": "Listed the allowed labels explicitly.",
      "template_tokens": "204",
      "underlying_quality": "60.4"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 57,
    "fields": {
      "prompt": 3,
      "version_no": 5,
      "created_at": "2026-03-29T09:11:10Z",
      "author": "Eddie",
      "change_note": "Moved the output format to the end of the prompt.",
      "template_tokens": "209",
      "underlying_quality": "55.9"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 58,
    "fields": {
      "prompt": 4,
      "version_no": 5,
      "created_at": "2026-04-01T18:01:43Z",
      "author": "Kip",
      "change_note": "Replaced the long preamble with three short rules.",
      "template_tokens": "221",
      "underlying_quality": "57.4"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 59,
    "fields": {
      "prompt": 9,
      "version_no": 5,
      "created_at": "2026-03-02T18:13:43Z",
      "author": "Allene",
      "change_note": "Reworded the tone guidance after a review comment.",
      "template_tokens": "217",
      "underlying_quality": "63.4"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 60,
    "fields": {
      "prompt": 13,
      "version_no": 3,
      "created_at": "2026-02-11T02:08:27Z",
      "author": "Freeman",
      "change_note": "Added two worked examples to the instructions.",
      "template_tokens": "204",
      "underlying_quality": "58.5"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 61,
    "fields": {
      "prompt": 3,
      "version_no": 6,
      "created_at": "2026-04-01T19:39:04Z",
      "author": "Kurtis",
      "change_note": "Added a refusal instruction for questions outside the product.",
      "template_tokens": "284",
      "underlying_quality": "64.1"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 62,
    "fields": {
      "prompt": 6,
      "version_no": 4,
      "created_at": "2026-01-28T22:32:00Z",
      "author": "Nona",
      "change_note": "Pinned the answer to a fixed JSON shape.",
      "template_tokens": "242",
      "underlying_quality": "63.3"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 63,
    "fields": {
      "prompt": 9,
      "version_no": 6,
      "created_at": "2026-03-10T00:38:41Z",
      "author": "Tiara",
      "change_note": "Moved the output format to the end of the prompt.",
      "template_tokens": "275",
      "underlying_quality": "58.4"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 64,
    "fields": {
      "prompt": 13,
      "version_no": 4,
      "created_at": "2026-02-15T10:55:50Z",
      "author": "Nakia",
      "change_note": "Shortened the system text to save input tokens.",
      "template_tokens": "222",
      "underlying_quality": "60.5"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 65,
    "fields": {
      "prompt": 10,
      "version_no": 6,
      "created_at": "2026-02-26T03:55:13Z",
      "author": "Christ",
      "change_note": "Moved the output format to the end of the prompt.",
      "template_tokens": "264",
      "underlying_quality": "68.6"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 66,
    "fields": {
      "prompt": 8,
      "version_no": 4,
      "created_at": "2026-03-10T15:50:51Z",
      "author": "Robbie",
      "change_note": "Swapped the persona line for a plain task statement.",
      "template_tokens": "226",
      "underlying_quality": "58.2"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 67,
    "fields": {
      "prompt": 12,
      "version_no": 5,
      "created_at": "2026-03-11T05:18:13Z",
      "author": "Cassandra",
      "change_note": "Listed the allowed labels explicitly.",
      "template_tokens": "230",
      "underlying_quality": "59.5"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 68,
    "fields": {
      "prompt": 1,
      "version_no": 5,
      "created_at": "2026-02-18T03:56:55Z",
      "author": "Kylie",
      "change_note": "Reworded the tone guidance after a review comment.",
      "template_tokens": "235",
      "underlying_quality": "62.3"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 69,
    "fields": {
      "prompt": 1,
      "version_no": 6,
      "created_at": "2026-02-27T07:26:07Z",
      "author": "Trent",
      "change_note": "Reworded the tone guidance after a review comment.",
      "template_tokens": "252",
      "underlying_quality": "68.6"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 70,
    "fields": {
      "prompt": 12,
      "version_no": 6,
      "created_at": "2026-03-17T19:12:31Z",
      "author": "Jesse",
      "change_note": "Swapped the persona line for a plain task statement.",
      "template_tokens": "266",
      "underlying_quality": "63.7"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 71,
    "fields": {
      "prompt": 3,
      "version_no": 7,
      "created_at": "2026-04-10T09:05:11Z",
      "author": "Rochelle",
      "change_note": "Reordered the context so the question comes last.",
      "template_tokens": "279",
      "underlying_quality": "66.0"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 72,
    "fields": {
      "prompt": 5,
      "version_no": 5,
      "created_at": "2026-03-26T22:07:38Z",
      "author": "Harry",
      "change_note": "Reworded the tone guidance after a review comment.",
      "template_tokens": "230",
      "underlying_quality": "68.5"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 73,
    "fields": {
      "prompt": 2,
      "version_no": 4,
      "created_at": "2026-02-08T17:46:03Z",
      "author": "Ubaldo",
      "change_note": "Capped the answer length at five sentences.",
      "template_tokens": "182",
      "underlying_quality": "63.5"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 74,
    "fields": {
      "prompt": 13,
      "version_no": 5,
      "created_at": "2026-02-21T03:22:34Z",
      "author": "Kailey",
      "change_note": "Swapped the persona line for a plain task statement.",
      "template_tokens": "239",
      "underlying_quality": "65.0"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 75,
    "fields": {
      "prompt": 8,
      "version_no": 5,
      "created_at": "2026-03-17T15:23:15Z",
      "author": "Camila",
      "change_note": "Swapped the persona line for a plain task statement.",
      "template_tokens": "243",
      "underlying_quality": "63.4"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 76,
    "fields": {
      "prompt": 11,
      "version_no": 6,
      "created_at": "2026-04-01T09:09:11Z",
      "author": "Krista",
      "change_note": "Asked for a short reasoning line before the answer.",
      "template_tokens": "272",
      "underlying_quality": "62.3"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 77,
    "fields": {
      "prompt": 1,
      "version_no": 7,
      "created_at": "2026-03-06T01:54:35Z",
      "author": "Moses",
      "change_note": "Added a refusal instruction for questions outside the product.",
      "template_tokens": "259",
      "underlying_quality": "64.1"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 78,
    "fields": {
      "prompt": 2,
      "version_no": 5,
      "created_at": "2026-02-18T05:40:03Z",
      "author": "Merlin",
      "change_note": "Swapped the persona line for a plain task statement.",
      "template_tokens": "221",
      "underlying_quality": "64.4"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 79,
    "fields": {
      "prompt": 8,
      "version_no": 6,
      "created_at": "2026-03-26T12:02:42Z",
      "author": "Millie",
      "change_note": "Added a refusal instruction for questions outside the product.",
      "template_tokens": "267",
      "underlying_quality": "65.9"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 80,
    "fields": {
      "prompt": 10,
      "version_no": 7,
      "created_at": "2026-03-01T19:52:52Z",
      "author": "Kade",
      "change_note": "Added a refusal instruction for questions outside the product.",
      "template_tokens": "276",
      "underlying_quality": "62.4"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 81,
    "fields": {
      "prompt": 14,
      "version_no": 7,
      "created_at": "2026-03-05T23:32:33Z",
      "author": "Taya",
      "change_note": "Split one long instruction into numbered steps.",
      "template_tokens": "277",
      "underlying_quality": "58.0"
    }
  },
  {
    "model": "app.promptversion",
    "pk": 82,
    "fields": {
      "prompt": 9,
      "version_no": 7,
      "created_at": "2026-03-17T18:59:25Z",
      "author": "Lawrence",
      "change_note": "Listed the allowed labels explicitly.",
      "template_tokens": "258",
      "underlying_quality": "64.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 1,
    "fields": {
      "version": 24,
      "prompt_id": 12,
      "run_at": "2026-02-27T19:07:12Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 97,
      "expected_score": "55.8"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 2,
    "fields": {
      "version": 70,
      "prompt_id": 12,
      "run_at": "2026-03-18T04:39:10Z",
      "judge": 3,
      "eval_set": "edge cases",
      "cases_scored": 104,
      "expected_score": "66.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 3,
    "fields": {
      "version": 28,
      "prompt_id": 5,
      "run_at": "2026-03-05T04:13:28Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 108,
      "expected_score": "55.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 4,
    "fields": {
      "version": 48,
      "prompt_id": 13,
      "run_at": "2026-02-04T06:20:21Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 99,
      "expected_score": "57.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 5,
    "fields": {
      "version": 62,
      "prompt_id": 6,
      "run_at": "2026-01-29T09:20:26Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 109,
      "expected_score": "66.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 6,
    "fields": {
      "version": 73,
      "prompt_id": 2,
      "run_at": "2026-02-09T04:04:54Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 97,
      "expected_score": "60.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 7,
    "fields": {
      "version": 64,
      "prompt_id": 13,
      "run_at": "2026-02-15T15:09:57Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 85,
      "expected_score": "60.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 8,
    "fields": {
      "version": 76,
      "prompt_id": 11,
      "run_at": "2026-04-01T12:27:46Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 58,
      "expected_score": "59.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 9,
    "fields": {
      "version": 19,
      "prompt_id": 7,
      "run_at": "2026-03-03T14:05:40Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 41,
      "expected_score": "53.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 10,
    "fields": {
      "version": 8,
      "prompt_id": 11,
      "run_at": "2026-03-08T00:35:17Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 62,
      "expected_score": "61.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 11,
    "fields": {
      "version": 72,
      "prompt_id": 5,
      "run_at": "2026-03-27T01:46:17Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 109,
      "expected_score": "68.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 12,
    "fields": {
      "version": 9,
      "prompt_id": 1,
      "run_at": "2026-01-24T05:09:54Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 60,
      "expected_score": "56.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 13,
    "fields": {
      "version": 65,
      "prompt_id": 10,
      "run_at": "2026-02-26T04:09:00Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 100,
      "expected_score": "65.6"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 14,
    "fields": {
      "version": 46,
      "prompt_id": 6,
      "run_at": "2026-01-14T17:12:11Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 79,
      "expected_score": "53.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 15,
    "fields": {
      "version": 30,
      "prompt_id": 4,
      "run_at": "2026-03-23T19:47:38Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 66,
      "expected_score": "54.6"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 16,
    "fields": {
      "version": 36,
      "prompt_id": 1,
      "run_at": "2026-02-03T01:53:16Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 97,
      "expected_score": "62.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 17,
    "fields": {
      "version": 34,
      "prompt_id": 1,
      "run_at": "2026-01-28T16:57:49Z",
      "judge": 3,
      "eval_set": "production sample",
      "cases_scored": 87,
      "expected_score": "61.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 18,
    "fields": {
      "version": 79,
      "prompt_id": 8,
      "run_at": "2026-03-26T12:57:40Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 82,
      "expected_score": "65.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 19,
    "fields": {
      "version": 80,
      "prompt_id": 10,
      "run_at": "2026-03-01T22:39:20Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 61,
      "expected_score": "59.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 20,
    "fields": {
      "version": 61,
      "prompt_id": 3,
      "run_at": "2026-04-02T05:00:32Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 59,
      "expected_score": "61.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 21,
    "fields": {
      "version": 75,
      "prompt_id": 8,
      "run_at": "2026-03-17T18:21:46Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 82,
      "expected_score": "63.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 22,
    "fields": {
      "version": 14,
      "prompt_id": 3,
      "run_at": "2026-03-09T09:05:16Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 54,
      "expected_score": "56.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 23,
    "fields": {
      "version": 73,
      "prompt_id": 2,
      "run_at": "2026-02-09T16:26:33Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 112,
      "expected_score": "60.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 24,
    "fields": {
      "version": 79,
      "prompt_id": 8,
      "run_at": "2026-03-26T17:26:45Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 88,
      "expected_score": "62.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 25,
    "fields": {
      "version": 45,
      "prompt_id": 7,
      "run_at": "2026-03-12T10:23:17Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 77,
      "expected_score": "59.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 26,
    "fields": {
      "version": 13,
      "prompt_id": 9,
      "run_at": "2026-02-12T08:50:25Z",
      "judge": 3,
      "eval_set": "edge cases",
      "cases_scored": 81,
      "expected_score": "61.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 27,
    "fields": {
      "version": 75,
      "prompt_id": 8,
      "run_at": "2026-03-18T02:06:33Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 117,
      "expected_score": "60.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 28,
    "fields": {
      "version": 36,
      "prompt_id": 1,
      "run_at": "2026-02-03T09:27:37Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 102,
      "expected_score": "56.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 29,
    "fields": {
      "version": 25,
      "prompt_id": 12,
      "run_at": "2026-03-04T00:01:57Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 66,
      "expected_score": "55.8"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 30,
    "fields": {
      "version": 13,
      "prompt_id": 9,
      "run_at": "2026-02-12T21:08:56Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 65,
      "expected_score": "58.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 31,
    "fields": {
      "version": 52,
      "prompt_id": 7,
      "run_at": "2026-03-16T10:17:00Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 118,
      "expected_score": "60.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 32,
    "fields": {
      "version": 33,
      "prompt_id": 14,
      "run_at": "2026-02-13T08:31:28Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 85,
      "expected_score": "62.6"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 33,
    "fields": {
      "version": 77,
      "prompt_id": 1,
      "run_at": "2026-03-06T02:15:10Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 45,
      "expected_score": "67.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 34,
    "fields": {
      "version": 59,
      "prompt_id": 9,
      "run_at": "2026-03-03T02:47:53Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 85,
      "expected_score": "66.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 35,
    "fields": {
      "version": 41,
      "prompt_id": 11,
      "run_at": "2026-03-14T14:31:57Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 68,
      "expected_score": "45.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 36,
    "fields": {
      "version": 16,
      "prompt_id": 8,
      "run_at": "2026-02-15T02:31:57Z",
      "judge": 3,
      "eval_set": "edge cases",
      "cases_scored": 105,
      "expected_score": "56.6"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 37,
    "fields": {
      "version": 81,
      "prompt_id": 14,
      "run_at": "2026-03-06T10:56:27Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 109,
      "expected_score": "55.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 38,
    "fields": {
      "version": 26,
      "prompt_id": 10,
      "run_at": "2026-02-08T05:01:49Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 101,
      "expected_score": "55.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 39,
    "fields": {
      "version": 29,
      "prompt_id": 10,
      "run_at": "2026-02-14T12:43:51Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 43,
      "expected_score": "61.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 40,
    "fields": {
      "version": 20,
      "prompt_id": 8,
      "run_at": "2026-03-03T02:34:45Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 101,
      "expected_score": "50.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 41,
    "fields": {
      "version": 17,
      "prompt_id": 10,
      "run_at": "2026-01-31T15:48:22Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 96,
      "expected_score": "49.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 42,
    "fields": {
      "version": 60,
      "prompt_id": 13,
      "run_at": "2026-02-11T10:14:18Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 41,
      "expected_score": "55.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 43,
    "fields": {
      "version": 59,
      "prompt_id": 9,
      "run_at": "2026-03-03T07:37:00Z",
      "judge": 3,
      "eval_set": "edge cases",
      "cases_scored": 76,
      "expected_score": "66.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 44,
    "fields": {
      "version": 54,
      "prompt_id": 7,
      "run_at": "2026-03-23T05:25:41Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 43,
      "expected_score": "58.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 45,
    "fields": {
      "version": 35,
      "prompt_id": 5,
      "run_at": "2026-03-13T17:19:15Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 88,
      "expected_score": "58.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 46,
    "fields": {
      "version": 37,
      "prompt_id": 13,
      "run_at": "2026-01-31T18:17:31Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 71,
      "expected_score": "54.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 47,
    "fields": {
      "version": 37,
      "prompt_id": 13,
      "run_at": "2026-01-31T22:36:53Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 117,
      "expected_score": "48.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 48,
    "fields": {
      "version": 74,
      "prompt_id": 13,
      "run_at": "2026-02-21T07:24:42Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 49,
      "expected_score": "65.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 49,
    "fields": {
      "version": 51,
      "prompt_id": 11,
      "run_at": "2026-03-21T14:04:10Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 61,
      "expected_score": "60.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 50,
    "fields": {
      "version": 42,
      "prompt_id": 10,
      "run_at": "2026-02-20T16:18:09Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 74,
      "expected_score": "62.8"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 51,
    "fields": {
      "version": 69,
      "prompt_id": 1,
      "run_at": "2026-02-27T14:14:51Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 81,
      "expected_score": "71.6"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 52,
    "fields": {
      "version": 61,
      "prompt_id": 3,
      "run_at": "2026-04-02T16:38:03Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 117,
      "expected_score": "61.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 53,
    "fields": {
      "version": 56,
      "prompt_id": 9,
      "run_at": "2026-02-25T12:55:42Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 68,
      "expected_score": "60.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 54,
    "fields": {
      "version": 66,
      "prompt_id": 8,
      "run_at": "2026-03-10T22:06:07Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 109,
      "expected_score": "55.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 55,
    "fields": {
      "version": 7,
      "prompt_id": 14,
      "run_at": "2026-02-05T06:56:27Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 118,
      "expected_score": "49.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 56,
    "fields": {
      "version": 58,
      "prompt_id": 4,
      "run_at": "2026-04-02T03:01:09Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 115,
      "expected_score": "54.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 57,
    "fields": {
      "version": 72,
      "prompt_id": 5,
      "run_at": "2026-03-27T05:10:47Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 115,
      "expected_score": "65.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 58,
    "fields": {
      "version": 51,
      "prompt_id": 11,
      "run_at": "2026-03-21T17:55:25Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 111,
      "expected_score": "57.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 59,
    "fields": {
      "version": 62,
      "prompt_id": 6,
      "run_at": "2026-01-29T20:23:32Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 65,
      "expected_score": "63.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 60,
    "fields": {
      "version": 2,
      "prompt_id": 9,
      "run_at": "2026-02-06T12:13:14Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 114,
      "expected_score": "47.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 61,
    "fields": {
      "version": 71,
      "prompt_id": 3,
      "run_at": "2026-04-10T20:32:55Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 63,
      "expected_score": "66.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 62,
    "fields": {
      "version": 24,
      "prompt_id": 12,
      "run_at": "2026-02-27T23:02:06Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 116,
      "expected_score": "58.8"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 63,
    "fields": {
      "version": 73,
      "prompt_id": 2,
      "run_at": "2026-02-10T01:36:56Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 68,
      "expected_score": "63.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 64,
    "fields": {
      "version": 39,
      "prompt_id": 2,
      "run_at": "2026-01-30T20:11:31Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 99,
      "expected_score": "50.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 65,
    "fields": {
      "version": 49,
      "prompt_id": 6,
      "run_at": "2026-01-20T11:18:29Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 54,
      "expected_score": "57.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 66,
    "fields": {
      "version": 70,
      "prompt_id": 12,
      "run_at": "2026-03-18T15:04:17Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 113,
      "expected_score": "66.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 67,
    "fields": {
      "version": 32,
      "prompt_id": 9,
      "run_at": "2026-02-16T17:10:34Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 60,
      "expected_score": "57.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 68,
    "fields": {
      "version": 6,
      "prompt_id": 14,
      "run_at": "2026-01-31T21:27:36Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 115,
      "expected_score": "51.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 69,
    "fields": {
      "version": 56,
      "prompt_id": 9,
      "run_at": "2026-02-25T14:13:40Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 93,
      "expected_score": "57.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 70,
    "fields": {
      "version": 77,
      "prompt_id": 1,
      "run_at": "2026-03-06T04:36:10Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 60,
      "expected_score": "61.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 71,
    "fields": {
      "version": 46,
      "prompt_id": 6,
      "run_at": "2026-01-14T22:18:31Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 111,
      "expected_score": "53.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 72,
    "fields": {
      "version": 44,
      "prompt_id": 2,
      "run_at": "2026-02-05T02:54:05Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 45,
      "expected_score": "59.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 73,
    "fields": {
      "version": 52,
      "prompt_id": 7,
      "run_at": "2026-03-16T11:40:59Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 116,
      "expected_score": "60.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 74,
    "fields": {
      "version": 15,
      "prompt_id": 2,
      "run_at": "2026-01-23T12:36:17Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 48,
      "expected_score": "53.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 75,
    "fields": {
      "version": 2,
      "prompt_id": 9,
      "run_at": "2026-02-06T20:43:41Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 88,
      "expected_score": "50.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 76,
    "fields": {
      "version": 15,
      "prompt_id": 2,
      "run_at": "2026-01-23T21:20:04Z",
      "judge": 3,
      "eval_set": "production sample",
      "cases_scored": 66,
      "expected_score": "56.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 77,
    "fields": {
      "version": 55,
      "prompt_id": 5,
      "run_at": "2026-03-23T00:50:48Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 100,
      "expected_score": "57.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 78,
    "fields": {
      "version": 43,
      "prompt_id": 14,
      "run_at": "2026-02-28T14:04:12Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 111,
      "expected_score": "61.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 79,
    "fields": {
      "version": 20,
      "prompt_id": 8,
      "run_at": "2026-03-03T14:28:11Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 53,
      "expected_score": "47.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 80,
    "fields": {
      "version": 38,
      "prompt_id": 12,
      "run_at": "2026-03-07T10:20:03Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 52,
      "expected_score": "64.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 81,
    "fields": {
      "version": 65,
      "prompt_id": 10,
      "run_at": "2026-02-26T09:15:37Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 61,
      "expected_score": "65.6"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 82,
    "fields": {
      "version": 47,
      "prompt_id": 1,
      "run_at": "2026-02-12T13:26:10Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 47,
      "expected_score": "60.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 83,
    "fields": {
      "version": 64,
      "prompt_id": 13,
      "run_at": "2026-02-15T19:31:04Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 77,
      "expected_score": "57.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 84,
    "fields": {
      "version": 60,
      "prompt_id": 13,
      "run_at": "2026-02-11T22:41:16Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 44,
      "expected_score": "55.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 85,
    "fields": {
      "version": 4,
      "prompt_id": 11,
      "run_at": "2026-03-01T07:54:55Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 117,
      "expected_score": "59.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 86,
    "fields": {
      "version": 23,
      "prompt_id": 4,
      "run_at": "2026-03-18T07:22:09Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 57,
      "expected_score": "47.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 87,
    "fields": {
      "version": 1,
      "prompt_id": 5,
      "run_at": "2026-02-27T17:56:18Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 65,
      "expected_score": "49.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 88,
    "fields": {
      "version": 64,
      "prompt_id": 13,
      "run_at": "2026-02-15T21:50:11Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 65,
      "expected_score": "60.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 89,
    "fields": {
      "version": 21,
      "prompt_id": 12,
      "run_at": "2026-02-24T12:17:14Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 73,
      "expected_score": "42.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 90,
    "fields": {
      "version": 65,
      "prompt_id": 10,
      "run_at": "2026-02-26T21:59:48Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 64,
      "expected_score": "65.6"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 91,
    "fields": {
      "version": 80,
      "prompt_id": 10,
      "run_at": "2026-03-02T01:30:19Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 91,
      "expected_score": "62.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 92,
    "fields": {
      "version": 68,
      "prompt_id": 1,
      "run_at": "2026-02-18T14:34:44Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 47,
      "expected_score": "62.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 93,
    "fields": {
      "version": 54,
      "prompt_id": 7,
      "run_at": "2026-03-23T11:09:03Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 42,
      "expected_score": "58.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 94,
    "fields": {
      "version": 57,
      "prompt_id": 3,
      "run_at": "2026-03-29T14:31:38Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 108,
      "expected_score": "55.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 95,
    "fields": {
      "version": 78,
      "prompt_id": 2,
      "run_at": "2026-02-18T16:37:21Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 86,
      "expected_score": "67.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 96,
    "fields": {
      "version": 18,
      "prompt_id": 8,
      "run_at": "2026-02-24T01:33:24Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 43,
      "expected_score": "53.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 97,
    "fields": {
      "version": 69,
      "prompt_id": 1,
      "run_at": "2026-02-27T22:07:18Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 54,
      "expected_score": "65.6"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 98,
    "fields": {
      "version": 17,
      "prompt_id": 10,
      "run_at": "2026-01-31T19:09:07Z",
      "judge": 3,
      "eval_set": "production sample",
      "cases_scored": 88,
      "expected_score": "52.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 99,
    "fields": {
      "version": 66,
      "prompt_id": 8,
      "run_at": "2026-03-11T02:51:54Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 54,
      "expected_score": "61.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 100,
    "fields": {
      "version": 68,
      "prompt_id": 1,
      "run_at": "2026-02-19T01:19:50Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 59,
      "expected_score": "62.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 101,
    "fields": {
      "version": 40,
      "prompt_id": 14,
      "run_at": "2026-02-22T00:55:55Z",
      "judge": 3,
      "eval_set": "production sample",
      "cases_scored": 59,
      "expected_score": "62.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 102,
    "fields": {
      "version": 10,
      "prompt_id": 10,
      "run_at": "2026-01-23T20:50:14Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 69,
      "expected_score": "58.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 103,
    "fields": {
      "version": 14,
      "prompt_id": 3,
      "run_at": "2026-03-09T17:59:13Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 73,
      "expected_score": "56.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 104,
    "fields": {
      "version": 28,
      "prompt_id": 5,
      "run_at": "2026-03-05T13:40:10Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 47,
      "expected_score": "52.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 105,
    "fields": {
      "version": 3,
      "prompt_id": 14,
      "run_at": "2026-01-27T14:12:37Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 98,
      "expected_score": "55.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 106,
    "fields": {
      "version": 5,
      "prompt_id": 6,
      "run_at": "2026-01-09T17:27:36Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 109,
      "expected_score": "49.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 107,
    "fields": {
      "version": 82,
      "prompt_id": 9,
      "run_at": "2026-03-17T23:16:36Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 74,
      "expected_score": "64.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 108,
    "fields": {
      "version": 18,
      "prompt_id": 8,
      "run_at": "2026-02-24T03:52:22Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 92,
      "expected_score": "59.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 109,
    "fields": {
      "version": 1,
      "prompt_id": 5,
      "run_at": "2026-02-28T06:41:51Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 80,
      "expected_score": "49.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 110,
    "fields": {
      "version": 32,
      "prompt_id": 9,
      "run_at": "2026-02-17T04:15:21Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 85,
      "expected_score": "60.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 111,
    "fields": {
      "version": 8,
      "prompt_id": 11,
      "run_at": "2026-03-08T03:28:36Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 96,
      "expected_score": "58.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 112,
    "fields": {
      "version": 53,
      "prompt_id": 11,
      "run_at": "2026-03-25T22:34:55Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 118,
      "expected_score": "57.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 113,
    "fields": {
      "version": 53,
      "prompt_id": 11,
      "run_at": "2026-03-26T10:13:32Z",
      "judge": 3,
      "eval_set": "production sample",
      "cases_scored": 66,
      "expected_score": "63.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 114,
    "fields": {
      "version": 63,
      "prompt_id": 9,
      "run_at": "2026-03-10T02:24:51Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 50,
      "expected_score": "55.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 115,
    "fields": {
      "version": 41,
      "prompt_id": 11,
      "run_at": "2026-03-14T16:53:53Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 58,
      "expected_score": "48.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 116,
    "fields": {
      "version": 44,
      "prompt_id": 2,
      "run_at": "2026-02-05T11:46:11Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 42,
      "expected_score": "56.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 117,
    "fields": {
      "version": 53,
      "prompt_id": 11,
      "run_at": "2026-03-26T15:48:38Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 95,
      "expected_score": "57.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 118,
    "fields": {
      "version": 15,
      "prompt_id": 2,
      "run_at": "2026-01-24T00:13:36Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 65,
      "expected_score": "53.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 119,
    "fields": {
      "version": 80,
      "prompt_id": 10,
      "run_at": "2026-03-02T06:34:02Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 46,
      "expected_score": "62.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 120,
    "fields": {
      "version": 67,
      "prompt_id": 12,
      "run_at": "2026-03-11T11:21:20Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 64,
      "expected_score": "62.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 121,
    "fields": {
      "version": 17,
      "prompt_id": 10,
      "run_at": "2026-01-31T22:51:52Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 116,
      "expected_score": "49.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 122,
    "fields": {
      "version": 68,
      "prompt_id": 1,
      "run_at": "2026-02-19T12:25:45Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 44,
      "expected_score": "62.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 123,
    "fields": {
      "version": 38,
      "prompt_id": 12,
      "run_at": "2026-03-07T15:38:04Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 96,
      "expected_score": "61.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 124,
    "fields": {
      "version": 33,
      "prompt_id": 14,
      "run_at": "2026-02-13T10:51:42Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 100,
      "expected_score": "56.6"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 125,
    "fields": {
      "version": 11,
      "prompt_id": 3,
      "run_at": "2026-03-02T15:17:53Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 120,
      "expected_score": "64.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 126,
    "fields": {
      "version": 76,
      "prompt_id": 11,
      "run_at": "2026-04-01T19:45:19Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 97,
      "expected_score": "59.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 127,
    "fields": {
      "version": 27,
      "prompt_id": 7,
      "run_at": "2026-03-09T09:15:58Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 80,
      "expected_score": "52.8"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 128,
    "fields": {
      "version": 2,
      "prompt_id": 9,
      "run_at": "2026-02-07T04:28:30Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 70,
      "expected_score": "47.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 129,
    "fields": {
      "version": 19,
      "prompt_id": 7,
      "run_at": "2026-03-03T22:09:31Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 106,
      "expected_score": "53.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 130,
    "fields": {
      "version": 31,
      "prompt_id": 3,
      "run_at": "2026-03-13T06:54:34Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 113,
      "expected_score": "53.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 131,
    "fields": {
      "version": 59,
      "prompt_id": 9,
      "run_at": "2026-03-03T08:44:03Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 55,
      "expected_score": "63.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 132,
    "fields": {
      "version": 78,
      "prompt_id": 2,
      "run_at": "2026-02-18T22:09:56Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 97,
      "expected_score": "67.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 133,
    "fields": {
      "version": 26,
      "prompt_id": 10,
      "run_at": "2026-02-08T14:21:13Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 47,
      "expected_score": "55.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 134,
    "fields": {
      "version": 4,
      "prompt_id": 11,
      "run_at": "2026-03-01T18:15:44Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 68,
      "expected_score": "62.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 135,
    "fields": {
      "version": 57,
      "prompt_id": 3,
      "run_at": "2026-03-29T15:36:20Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 95,
      "expected_score": "55.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 136,
    "fields": {
      "version": 69,
      "prompt_id": 1,
      "run_at": "2026-02-28T05:19:25Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 58,
      "expected_score": "65.6"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 137,
    "fields": {
      "version": 63,
      "prompt_id": 9,
      "run_at": "2026-03-10T10:55:31Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 78,
      "expected_score": "55.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 138,
    "fields": {
      "version": 29,
      "prompt_id": 10,
      "run_at": "2026-02-14T14:03:20Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 77,
      "expected_score": "55.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 139,
    "fields": {
      "version": 67,
      "prompt_id": 12,
      "run_at": "2026-03-11T20:34:09Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 117,
      "expected_score": "56.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 140,
    "fields": {
      "version": 30,
      "prompt_id": 4,
      "run_at": "2026-03-24T05:44:47Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 59,
      "expected_score": "57.6"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 141,
    "fields": {
      "version": 16,
      "prompt_id": 8,
      "run_at": "2026-02-15T04:29:06Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 104,
      "expected_score": "53.6"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 142,
    "fields": {
      "version": 16,
      "prompt_id": 8,
      "run_at": "2026-02-15T06:09:26Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 106,
      "expected_score": "53.6"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 143,
    "fields": {
      "version": 42,
      "prompt_id": 10,
      "run_at": "2026-02-20T20:09:01Z",
      "judge": 3,
      "eval_set": "production sample",
      "cases_scored": 61,
      "expected_score": "65.8"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 144,
    "fields": {
      "version": 21,
      "prompt_id": 12,
      "run_at": "2026-02-24T13:44:47Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 110,
      "expected_score": "48.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 145,
    "fields": {
      "version": 40,
      "prompt_id": 14,
      "run_at": "2026-02-22T03:34:01Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 92,
      "expected_score": "59.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 146,
    "fields": {
      "version": 5,
      "prompt_id": 6,
      "run_at": "2026-01-09T19:31:56Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 59,
      "expected_score": "49.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 147,
    "fields": {
      "version": 72,
      "prompt_id": 5,
      "run_at": "2026-03-27T06:14:03Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 41,
      "expected_score": "65.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 148,
    "fields": {
      "version": 11,
      "prompt_id": 3,
      "run_at": "2026-03-02T21:20:53Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 70,
      "expected_score": "58.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 149,
    "fields": {
      "version": 81,
      "prompt_id": 14,
      "run_at": "2026-03-06T13:46:25Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 81,
      "expected_score": "55.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 150,
    "fields": {
      "version": 29,
      "prompt_id": 10,
      "run_at": "2026-02-15T01:32:37Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 44,
      "expected_score": "58.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 151,
    "fields": {
      "version": 12,
      "prompt_id": 4,
      "run_at": "2026-02-28T04:14:28Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 64,
      "expected_score": "54.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 152,
    "fields": {
      "version": 22,
      "prompt_id": 4,
      "run_at": "2026-03-10T03:23:47Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 66,
      "expected_score": "57.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 153,
    "fields": {
      "version": 5,
      "prompt_id": 6,
      "run_at": "2026-01-10T03:11:55Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 43,
      "expected_score": "49.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 154,
    "fields": {
      "version": 54,
      "prompt_id": 7,
      "run_at": "2026-03-23T12:56:45Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 52,
      "expected_score": "58.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 155,
    "fields": {
      "version": 34,
      "prompt_id": 1,
      "run_at": "2026-01-28T19:39:06Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 65,
      "expected_score": "58.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 156,
    "fields": {
      "version": 39,
      "prompt_id": 2,
      "run_at": "2026-01-30T22:05:38Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 82,
      "expected_score": "50.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 157,
    "fields": {
      "version": 40,
      "prompt_id": 14,
      "run_at": "2026-02-22T15:44:10Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 105,
      "expected_score": "56.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 158,
    "fields": {
      "version": 76,
      "prompt_id": 11,
      "run_at": "2026-04-02T00:04:46Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 101,
      "expected_score": "62.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 159,
    "fields": {
      "version": 43,
      "prompt_id": 14,
      "run_at": "2026-03-01T01:10:38Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 62,
      "expected_score": "61.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 160,
    "fields": {
      "version": 42,
      "prompt_id": 10,
      "run_at": "2026-02-21T04:13:23Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 89,
      "expected_score": "59.8"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 161,
    "fields": {
      "version": 49,
      "prompt_id": 6,
      "run_at": "2026-01-20T19:20:11Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 64,
      "expected_score": "57.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 162,
    "fields": {
      "version": 74,
      "prompt_id": 13,
      "run_at": "2026-02-21T08:53:32Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 93,
      "expected_score": "62.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 163,
    "fields": {
      "version": 12,
      "prompt_id": 4,
      "run_at": "2026-02-28T15:00:48Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 114,
      "expected_score": "57.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 164,
    "fields": {
      "version": 44,
      "prompt_id": 2,
      "run_at": "2026-02-05T20:02:03Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 119,
      "expected_score": "62.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 165,
    "fields": {
      "version": 7,
      "prompt_id": 14,
      "run_at": "2026-02-05T12:34:47Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 61,
      "expected_score": "52.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 166,
    "fields": {
      "version": 82,
      "prompt_id": 9,
      "run_at": "2026-03-18T06:20:25Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 50,
      "expected_score": "64.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 167,
    "fields": {
      "version": 9,
      "prompt_id": 1,
      "run_at": "2026-01-24T07:15:22Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 78,
      "expected_score": "56.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 168,
    "fields": {
      "version": 21,
      "prompt_id": 12,
      "run_at": "2026-02-24T18:42:55Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 116,
      "expected_score": "42.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 169,
    "fields": {
      "version": 23,
      "prompt_id": 4,
      "run_at": "2026-03-18T18:19:10Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 69,
      "expected_score": "47.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 170,
    "fields": {
      "version": 20,
      "prompt_id": 8,
      "run_at": "2026-03-04T00:33:00Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 100,
      "expected_score": "47.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 171,
    "fields": {
      "version": 55,
      "prompt_id": 5,
      "run_at": "2026-03-23T09:56:48Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 65,
      "expected_score": "54.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 172,
    "fields": {
      "version": 3,
      "prompt_id": 14,
      "run_at": "2026-01-27T16:24:41Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 69,
      "expected_score": "55.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 173,
    "fields": {
      "version": 31,
      "prompt_id": 3,
      "run_at": "2026-03-13T14:22:34Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 114,
      "expected_score": "50.2"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 174,
    "fields": {
      "version": 47,
      "prompt_id": 1,
      "run_at": "2026-02-13T00:35:22Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 106,
      "expected_score": "57.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 175,
    "fields": {
      "version": 9,
      "prompt_id": 1,
      "run_at": "2026-01-24T14:03:15Z",
      "judge": 1,
      "eval_set": "golden set",
      "cases_scored": 90,
      "expected_score": "53.7"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 176,
    "fields": {
      "version": 11,
      "prompt_id": 3,
      "run_at": "2026-03-03T10:10:56Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 74,
      "expected_score": "61.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 177,
    "fields": {
      "version": 78,
      "prompt_id": 2,
      "run_at": "2026-02-19T04:48:19Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 61,
      "expected_score": "64.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 178,
    "fields": {
      "version": 27,
      "prompt_id": 7,
      "run_at": "2026-03-09T11:43:14Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 41,
      "expected_score": "52.8"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 179,
    "fields": {
      "version": 58,
      "prompt_id": 4,
      "run_at": "2026-04-02T14:52:48Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 72,
      "expected_score": "57.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 180,
    "fields": {
      "version": 52,
      "prompt_id": 7,
      "run_at": "2026-03-16T14:13:37Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 77,
      "expected_score": "63.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 181,
    "fields": {
      "version": 12,
      "prompt_id": 4,
      "run_at": "2026-03-01T02:36:22Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 109,
      "expected_score": "51.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 182,
    "fields": {
      "version": 71,
      "prompt_id": 3,
      "run_at": "2026-04-11T00:07:25Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 42,
      "expected_score": "66.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 183,
    "fields": {
      "version": 55,
      "prompt_id": 5,
      "run_at": "2026-03-23T15:15:03Z",
      "judge": 2,
      "eval_set": "golden set",
      "cases_scored": 99,
      "expected_score": "54.3"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 184,
    "fields": {
      "version": 50,
      "prompt_id": 3,
      "run_at": "2026-03-21T13:44:58Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 100,
      "expected_score": "63.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 185,
    "fields": {
      "version": 35,
      "prompt_id": 5,
      "run_at": "2026-03-13T22:57:18Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 117,
      "expected_score": "55.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 186,
    "fields": {
      "version": 49,
      "prompt_id": 6,
      "run_at": "2026-01-21T04:33:28Z",
      "judge": 3,
      "eval_set": "edge cases",
      "cases_scored": 57,
      "expected_score": "63.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 187,
    "fields": {
      "version": 45,
      "prompt_id": 7,
      "run_at": "2026-03-12T15:49:19Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 55,
      "expected_score": "59.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 188,
    "fields": {
      "version": 79,
      "prompt_id": 8,
      "run_at": "2026-03-26T23:19:30Z",
      "judge": 3,
      "eval_set": "golden set",
      "cases_scored": 116,
      "expected_score": "68.9"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 189,
    "fields": {
      "version": 6,
      "prompt_id": 14,
      "run_at": "2026-02-01T02:48:46Z",
      "judge": 3,
      "eval_set": "production sample",
      "cases_scored": 90,
      "expected_score": "54.0"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 190,
    "fields": {
      "version": 63,
      "prompt_id": 9,
      "run_at": "2026-03-10T12:59:29Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 112,
      "expected_score": "58.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 191,
    "fields": {
      "version": 50,
      "prompt_id": 3,
      "run_at": "2026-03-21T19:54:28Z",
      "judge": 1,
      "eval_set": "production sample",
      "cases_scored": 111,
      "expected_score": "57.5"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 192,
    "fields": {
      "version": 75,
      "prompt_id": 8,
      "run_at": "2026-03-18T10:03:20Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 72,
      "expected_score": "63.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 193,
    "fields": {
      "version": 24,
      "prompt_id": 12,
      "run_at": "2026-02-28T03:10:49Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 46,
      "expected_score": "58.8"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 194,
    "fields": {
      "version": 25,
      "prompt_id": 12,
      "run_at": "2026-03-04T08:47:57Z",
      "judge": 2,
      "eval_set": "edge cases",
      "cases_scored": 43,
      "expected_score": "55.8"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 195,
    "fields": {
      "version": 22,
      "prompt_id": 4,
      "run_at": "2026-03-10T15:20:01Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 103,
      "expected_score": "54.1"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 196,
    "fields": {
      "version": 10,
      "prompt_id": 10,
      "run_at": "2026-01-24T00:26:14Z",
      "judge": 1,
      "eval_set": "edge cases",
      "cases_scored": 64,
      "expected_score": "55.4"
    }
  },
  {
    "model": "app.evalrun",
    "pk": 197,
    "fields": {
      "version": 48,
      "prompt_id": 13,
      "run_at": "2026-02-04T09:40:26Z",
      "judge": 2,
      "eval_set": "production sample",
      "cases_scored": 115,
      "expected_score": "57.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 1,
    "fields": {
      "run": 185,
      "metric": "accuracy",
      "noise": "-0.2",
      "score": "55.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 2,
    "fields": {
      "run": 189,
      "metric": "accuracy",
      "noise": "1.5",
      "score": "55.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 3,
    "fields": {
      "run": 130,
      "metric": "accuracy",
      "noise": "-4.5",
      "score": "48.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 4,
    "fields": {
      "run": 173,
      "metric": "accuracy",
      "noise": "0.4",
      "score": "50.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 5,
    "fields": {
      "run": 151,
      "metric": "accuracy",
      "noise": "-0.4",
      "score": "53.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 6,
    "fields": {
      "run": 141,
      "metric": "accuracy",
      "noise": "-0.1",
      "score": "53.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 7,
    "fields": {
      "run": 128,
      "metric": "accuracy",
      "noise": "0.7",
      "score": "48.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 8,
    "fields": {
      "run": 44,
      "metric": "accuracy",
      "noise": "-0.5",
      "score": "57.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 9,
    "fields": {
      "run": 107,
      "metric": "accuracy",
      "noise": "0.3",
      "score": "65.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 10,
    "fields": {
      "run": 34,
      "metric": "accuracy",
      "noise": "-2.0",
      "score": "64.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 11,
    "fields": {
      "run": 159,
      "metric": "accuracy",
      "noise": "-0.2",
      "score": "60.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 12,
    "fields": {
      "run": 175,
      "metric": "accuracy",
      "noise": "-1.1",
      "score": "52.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 13,
    "fields": {
      "run": 155,
      "metric": "accuracy",
      "noise": "-2.2",
      "score": "56.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 14,
    "fields": {
      "run": 73,
      "metric": "accuracy",
      "noise": "0.9",
      "score": "61.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 15,
    "fields": {
      "run": 91,
      "metric": "accuracy",
      "noise": "2.3",
      "score": "64.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 16,
    "fields": {
      "run": 40,
      "metric": "accuracy",
      "noise": "2.1",
      "score": "52.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 17,
    "fields": {
      "run": 18,
      "metric": "accuracy",
      "noise": "-0.2",
      "score": "65.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 18,
    "fields": {
      "run": 81,
      "metric": "accuracy",
      "noise": "0.1",
      "score": "65.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 19,
    "fields": {
      "run": 18,
      "metric": "format validity",
      "noise": "1.5",
      "score": "67.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 20,
    "fields": {
      "run": 126,
      "metric": "accuracy",
      "noise": "-0.5",
      "score": "58.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 21,
    "fields": {
      "run": 22,
      "metric": "accuracy",
      "noise": "-2.3",
      "score": "53.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 22,
    "fields": {
      "run": 182,
      "metric": "accuracy",
      "noise": "-2.2",
      "score": "63.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 23,
    "fields": {
      "run": 134,
      "metric": "accuracy",
      "noise": "1.7",
      "score": "64.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 24,
    "fields": {
      "run": 33,
      "metric": "accuracy",
      "noise": "-1.5",
      "score": "65.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 25,
    "fields": {
      "run": 17,
      "metric": "accuracy",
      "noise": "-1.0",
      "score": "60.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 26,
    "fields": {
      "run": 61,
      "metric": "accuracy",
      "noise": "-3.0",
      "score": "63.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 27,
    "fields": {
      "run": 148,
      "metric": "accuracy",
      "noise": "2.2",
      "score": "61.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 28,
    "fields": {
      "run": 26,
      "metric": "accuracy",
      "noise": "3.7",
      "score": "64.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 29,
    "fields": {
      "run": 53,
      "metric": "accuracy",
      "noise": "-2.7",
      "score": "57.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 30,
    "fields": {
      "run": 27,
      "metric": "accuracy",
      "noise": "0.8",
      "score": "61.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 31,
    "fields": {
      "run": 157,
      "metric": "accuracy",
      "noise": "1.9",
      "score": "58.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 32,
    "fields": {
      "run": 71,
      "metric": "accuracy",
      "noise": "2.8",
      "score": "56.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 33,
    "fields": {
      "run": 29,
      "metric": "accuracy",
      "noise": "0.1",
      "score": "55.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 34,
    "fields": {
      "run": 182,
      "metric": "format validity",
      "noise": "-2.6",
      "score": "63.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 35,
    "fields": {
      "run": 142,
      "metric": "accuracy",
      "noise": "-3.4",
      "score": "50.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 36,
    "fields": {
      "run": 194,
      "metric": "accuracy",
      "noise": "0.1",
      "score": "55.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 37,
    "fields": {
      "run": 79,
      "metric": "accuracy",
      "noise": "1.5",
      "score": "49.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 38,
    "fields": {
      "run": 37,
      "metric": "accuracy",
      "noise": "-2.2",
      "score": "52.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 39,
    "fields": {
      "run": 125,
      "metric": "accuracy",
      "noise": "-1.4",
      "score": "63.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 40,
    "fields": {
      "run": 145,
      "metric": "accuracy",
      "noise": "0.0",
      "score": "59.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 41,
    "fields": {
      "run": 52,
      "metric": "accuracy",
      "noise": "1.3",
      "score": "62.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 42,
    "fields": {
      "run": 76,
      "metric": "accuracy",
      "noise": "-0.4",
      "score": "56.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 43,
    "fields": {
      "run": 165,
      "metric": "accuracy",
      "noise": "0.2",
      "score": "52.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 44,
    "fields": {
      "run": 167,
      "metric": "accuracy",
      "noise": "2.7",
      "score": "59.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 45,
    "fields": {
      "run": 190,
      "metric": "accuracy",
      "noise": "2.2",
      "score": "60.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 46,
    "fields": {
      "run": 116,
      "metric": "accuracy",
      "noise": "-0.8",
      "score": "55.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 47,
    "fields": {
      "run": 118,
      "metric": "accuracy",
      "noise": "1.9",
      "score": "55.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 48,
    "fields": {
      "run": 104,
      "metric": "accuracy",
      "noise": "-0.3",
      "score": "52.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 49,
    "fields": {
      "run": 111,
      "metric": "accuracy",
      "noise": "2.1",
      "score": "61.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 50,
    "fields": {
      "run": 121,
      "metric": "accuracy",
      "noise": "2.1",
      "score": "51.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 51,
    "fields": {
      "run": 5,
      "metric": "accuracy",
      "noise": "1.4",
      "score": "67.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 52,
    "fields": {
      "run": 46,
      "metric": "accuracy",
      "noise": "-2.6",
      "score": "52.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 53,
    "fields": {
      "run": 192,
      "metric": "accuracy",
      "noise": "0.7",
      "score": "64.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 54,
    "fields": {
      "run": 43,
      "metric": "accuracy",
      "noise": "-0.7",
      "score": "65.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 55,
    "fields": {
      "run": 71,
      "metric": "format validity",
      "noise": "0.1",
      "score": "54.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 56,
    "fields": {
      "run": 64,
      "metric": "accuracy",
      "noise": "1.8",
      "score": "51.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 57,
    "fields": {
      "run": 14,
      "metric": "accuracy",
      "noise": "2.2",
      "score": "56.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 58,
    "fields": {
      "run": 11,
      "metric": "accuracy",
      "noise": "0.2",
      "score": "68.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 59,
    "fields": {
      "run": 35,
      "metric": "accuracy",
      "noise": "0.9",
      "score": "46.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 60,
    "fields": {
      "run": 160,
      "metric": "accuracy",
      "noise": "-0.5",
      "score": "59.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 61,
    "fields": {
      "run": 123,
      "metric": "accuracy",
      "noise": "0.0",
      "score": "61.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 62,
    "fields": {
      "run": 60,
      "metric": "accuracy",
      "noise": "3.2",
      "score": "51.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 63,
    "fields": {
      "run": 4,
      "metric": "accuracy",
      "noise": "-0.9",
      "score": "56.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 64,
    "fields": {
      "run": 40,
      "metric": "format validity",
      "noise": "-2.3",
      "score": "48.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 65,
    "fields": {
      "run": 6,
      "metric": "accuracy",
      "noise": "-0.8",
      "score": "59.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 66,
    "fields": {
      "run": 187,
      "metric": "accuracy",
      "noise": "-1.8",
      "score": "58.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 67,
    "fields": {
      "run": 18,
      "metric": "groundedness",
      "noise": "2.0",
      "score": "67.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 68,
    "fields": {
      "run": 113,
      "metric": "accuracy",
      "noise": "0.2",
      "score": "63.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 69,
    "fields": {
      "run": 100,
      "metric": "accuracy",
      "noise": "0.2",
      "score": "62.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 70,
    "fields": {
      "run": 109,
      "metric": "accuracy",
      "noise": "0.0",
      "score": "49.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 71,
    "fields": {
      "run": 139,
      "metric": "accuracy",
      "noise": "-0.6",
      "score": "55.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 72,
    "fields": {
      "run": 132,
      "metric": "accuracy",
      "noise": "0.0",
      "score": "67.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 73,
    "fields": {
      "run": 44,
      "metric": "format validity",
      "noise": "1.3",
      "score": "59.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 74,
    "fields": {
      "run": 52,
      "metric": "format validity",
      "noise": "-1.0",
      "score": "60.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 75,
    "fields": {
      "run": 34,
      "metric": "format validity",
      "noise": "0.1",
      "score": "66.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 76,
    "fields": {
      "run": 150,
      "metric": "accuracy",
      "noise": "-3.2",
      "score": "55.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 77,
    "fields": {
      "run": 51,
      "metric": "accuracy",
      "noise": "0.6",
      "score": "72.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 78,
    "fields": {
      "run": 81,
      "metric": "format validity",
      "noise": "-0.3",
      "score": "65.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 79,
    "fields": {
      "run": 9,
      "metric": "accuracy",
      "noise": "-0.3",
      "score": "53.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 80,
    "fields": {
      "run": 80,
      "metric": "accuracy",
      "noise": "-1.5",
      "score": "62.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 81,
    "fields": {
      "run": 103,
      "metric": "accuracy",
      "noise": "0.0",
      "score": "56.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 82,
    "fields": {
      "run": 103,
      "metric": "format validity",
      "noise": "-0.3",
      "score": "55.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 83,
    "fields": {
      "run": 84,
      "metric": "accuracy",
      "noise": "-0.5",
      "score": "55.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 84,
    "fields": {
      "run": 184,
      "metric": "accuracy",
      "noise": "-0.5",
      "score": "63.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 85,
    "fields": {
      "run": 3,
      "metric": "accuracy",
      "noise": "0.0",
      "score": "55.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 86,
    "fields": {
      "run": 123,
      "metric": "format validity",
      "noise": "-2.3",
      "score": "59.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 87,
    "fields": {
      "run": 156,
      "metric": "accuracy",
      "noise": "0.7",
      "score": "50.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 88,
    "fields": {
      "run": 184,
      "metric": "format validity",
      "noise": "1.5",
      "score": "65.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 89,
    "fields": {
      "run": 151,
      "metric": "format validity",
      "noise": "2.3",
      "score": "56.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 90,
    "fields": {
      "run": 101,
      "metric": "accuracy",
      "noise": "2.8",
      "score": "65.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 91,
    "fields": {
      "run": 26,
      "metric": "format validity",
      "noise": "2.2",
      "score": "63.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 92,
    "fields": {
      "run": 62,
      "metric": "accuracy",
      "noise": "-0.2",
      "score": "58.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 93,
    "fields": {
      "run": 168,
      "metric": "accuracy",
      "noise": "0.4",
      "score": "43.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 94,
    "fields": {
      "run": 111,
      "metric": "format validity",
      "noise": "-0.2",
      "score": "58.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 95,
    "fields": {
      "run": 186,
      "metric": "accuracy",
      "noise": "-0.9",
      "score": "62.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 96,
    "fields": {
      "run": 157,
      "metric": "format validity",
      "noise": "-1.7",
      "score": "54.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 97,
    "fields": {
      "run": 77,
      "metric": "accuracy",
      "noise": "0.4",
      "score": "57.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 98,
    "fields": {
      "run": 110,
      "metric": "accuracy",
      "noise": "2.0",
      "score": "62.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 99,
    "fields": {
      "run": 163,
      "metric": "accuracy",
      "noise": "0.5",
      "score": "57.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 100,
    "fields": {
      "run": 69,
      "metric": "accuracy",
      "noise": "-2.5",
      "score": "54.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 101,
    "fields": {
      "run": 197,
      "metric": "accuracy",
      "noise": "0.3",
      "score": "57.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 102,
    "fields": {
      "run": 132,
      "metric": "format validity",
      "noise": "0.6",
      "score": "68.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 103,
    "fields": {
      "run": 196,
      "metric": "accuracy",
      "noise": "0.0",
      "score": "55.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 104,
    "fields": {
      "run": 89,
      "metric": "accuracy",
      "noise": "-0.5",
      "score": "42.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 105,
    "fields": {
      "run": 6,
      "metric": "format validity",
      "noise": "0.5",
      "score": "61.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 106,
    "fields": {
      "run": 179,
      "metric": "accuracy",
      "noise": "0.8",
      "score": "58.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 107,
    "fields": {
      "run": 16,
      "metric": "accuracy",
      "noise": "-1.5",
      "score": "60.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 108,
    "fields": {
      "run": 84,
      "metric": "format validity",
      "noise": "-1.5",
      "score": "54.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 109,
    "fields": {
      "run": 18,
      "metric": "conciseness",
      "noise": "1.9",
      "score": "67.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 110,
    "fields": {
      "run": 112,
      "metric": "accuracy",
      "noise": "1.7",
      "score": "59.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 111,
    "fields": {
      "run": 107,
      "metric": "format validity",
      "noise": "2.5",
      "score": "67.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 112,
    "fields": {
      "run": 124,
      "metric": "accuracy",
      "noise": "0.1",
      "score": "56.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 113,
    "fields": {
      "run": 170,
      "metric": "accuracy",
      "noise": "3.8",
      "score": "51.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 114,
    "fields": {
      "run": 95,
      "metric": "accuracy",
      "noise": "0.6",
      "score": "68.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 115,
    "fields": {
      "run": 57,
      "metric": "accuracy",
      "noise": "2.4",
      "score": "67.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 116,
    "fields": {
      "run": 48,
      "metric": "accuracy",
      "noise": "-0.8",
      "score": "64.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 117,
    "fields": {
      "run": 38,
      "metric": "accuracy",
      "noise": "-1.6",
      "score": "54.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 118,
    "fields": {
      "run": 12,
      "metric": "accuracy",
      "noise": "2.3",
      "score": "59.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 119,
    "fields": {
      "run": 4,
      "metric": "format validity",
      "noise": "2.8",
      "score": "60.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 120,
    "fields": {
      "run": 27,
      "metric": "format validity",
      "noise": "-1.9",
      "score": "58.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 121,
    "fields": {
      "run": 53,
      "metric": "format validity",
      "noise": "1.8",
      "score": "62.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 122,
    "fields": {
      "run": 13,
      "metric": "accuracy",
      "noise": "1.4",
      "score": "67.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 123,
    "fields": {
      "run": 165,
      "metric": "format validity",
      "noise": "0.0",
      "score": "52.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 124,
    "fields": {
      "run": 123,
      "metric": "groundedness",
      "noise": "-0.1",
      "score": "61.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 125,
    "fields": {
      "run": 71,
      "metric": "groundedness",
      "noise": "1.6",
      "score": "55.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 126,
    "fields": {
      "run": 134,
      "metric": "format validity",
      "noise": "-2.3",
      "score": "60.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 127,
    "fields": {
      "run": 162,
      "metric": "accuracy",
      "noise": "0.5",
      "score": "62.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 128,
    "fields": {
      "run": 113,
      "metric": "format validity",
      "noise": "0.9",
      "score": "64.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 129,
    "fields": {
      "run": 160,
      "metric": "format validity",
      "noise": "0.0",
      "score": "59.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 130,
    "fields": {
      "run": 191,
      "metric": "accuracy",
      "noise": "-0.9",
      "score": "56.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 131,
    "fields": {
      "run": 187,
      "metric": "format validity",
      "noise": "3.7",
      "score": "63.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 132,
    "fields": {
      "run": 175,
      "metric": "format validity",
      "noise": "2.2",
      "score": "55.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 133,
    "fields": {
      "run": 59,
      "metric": "accuracy",
      "noise": "-4.5",
      "score": "58.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 134,
    "fields": {
      "run": 8,
      "metric": "accuracy",
      "noise": "0.8",
      "score": "60.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 135,
    "fields": {
      "run": 60,
      "metric": "format validity",
      "noise": "1.1",
      "score": "49.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 136,
    "fields": {
      "run": 23,
      "metric": "accuracy",
      "noise": "-2.1",
      "score": "58.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 137,
    "fields": {
      "run": 35,
      "metric": "format validity",
      "noise": "2.2",
      "score": "47.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 138,
    "fields": {
      "run": 8,
      "metric": "format validity",
      "noise": "1.4",
      "score": "60.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 139,
    "fields": {
      "run": 65,
      "metric": "accuracy",
      "noise": "1.5",
      "score": "59.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 140,
    "fields": {
      "run": 127,
      "metric": "accuracy",
      "noise": "-0.2",
      "score": "52.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 141,
    "fields": {
      "run": 191,
      "metric": "format validity",
      "noise": "1.3",
      "score": "58.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 142,
    "fields": {
      "run": 79,
      "metric": "format validity",
      "noise": "0.8",
      "score": "48.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 143,
    "fields": {
      "run": 100,
      "metric": "format validity",
      "noise": "1.0",
      "score": "63.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 144,
    "fields": {
      "run": 138,
      "metric": "accuracy",
      "noise": "0.9",
      "score": "56.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 145,
    "fields": {
      "run": 162,
      "metric": "format validity",
      "noise": "2.3",
      "score": "64.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 146,
    "fields": {
      "run": 84,
      "metric": "groundedness",
      "noise": "0.0",
      "score": "55.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 147,
    "fields": {
      "run": 191,
      "metric": "groundedness",
      "noise": "0.4",
      "score": "57.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 148,
    "fields": {
      "run": 141,
      "metric": "format validity",
      "noise": "-1.7",
      "score": "51.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 149,
    "fields": {
      "run": 127,
      "metric": "format validity",
      "noise": "2.2",
      "score": "55.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 150,
    "fields": {
      "run": 128,
      "metric": "format validity",
      "noise": "-0.8",
      "score": "47.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 151,
    "fields": {
      "run": 95,
      "metric": "format validity",
      "noise": "1.6",
      "score": "69.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 152,
    "fields": {
      "run": 32,
      "metric": "accuracy",
      "noise": "4.3",
      "score": "66.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 153,
    "fields": {
      "run": 181,
      "metric": "accuracy",
      "noise": "1.8",
      "score": "52.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 154,
    "fields": {
      "run": 143,
      "metric": "accuracy",
      "noise": "0.5",
      "score": "66.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 155,
    "fields": {
      "run": 30,
      "metric": "accuracy",
      "noise": "1.3",
      "score": "59.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 156,
    "fields": {
      "run": 101,
      "metric": "format validity",
      "noise": "1.0",
      "score": "63.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 157,
    "fields": {
      "run": 172,
      "metric": "accuracy",
      "noise": "-0.2",
      "score": "55.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 158,
    "fields": {
      "run": 61,
      "metric": "format validity",
      "noise": "1.1",
      "score": "67.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 159,
    "fields": {
      "run": 188,
      "metric": "accuracy",
      "noise": "-1.3",
      "score": "67.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 160,
    "fields": {
      "run": 34,
      "metric": "groundedness",
      "noise": "-0.2",
      "score": "66.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 161,
    "fields": {
      "run": 187,
      "metric": "groundedness",
      "noise": "0.1",
      "score": "60.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 162,
    "fields": {
      "run": 26,
      "metric": "groundedness",
      "noise": "2.1",
      "score": "63.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 163,
    "fields": {
      "run": 49,
      "metric": "accuracy",
      "noise": "0.2",
      "score": "61.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 164,
    "fields": {
      "run": 46,
      "metric": "format validity",
      "noise": "-1.7",
      "score": "53.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 165,
    "fields": {
      "run": 155,
      "metric": "format validity",
      "noise": "2.9",
      "score": "61.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 166,
    "fields": {
      "run": 44,
      "metric": "groundedness",
      "noise": "1.0",
      "score": "59.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 167,
    "fields": {
      "run": 96,
      "metric": "accuracy",
      "noise": "1.1",
      "score": "54.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 168,
    "fields": {
      "run": 141,
      "metric": "groundedness",
      "noise": "2.3",
      "score": "55.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 169,
    "fields": {
      "run": 170,
      "metric": "format validity",
      "noise": "-0.6",
      "score": "47.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 170,
    "fields": {
      "run": 44,
      "metric": "conciseness",
      "noise": "-2.6",
      "score": "55.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 171,
    "fields": {
      "run": 156,
      "metric": "format validity",
      "noise": "0.7",
      "score": "50.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 172,
    "fields": {
      "run": 163,
      "metric": "format validity",
      "noise": "-0.2",
      "score": "56.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 173,
    "fields": {
      "run": 72,
      "metric": "accuracy",
      "noise": "0.4",
      "score": "59.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 174,
    "fields": {
      "run": 142,
      "metric": "format validity",
      "noise": "1.0",
      "score": "54.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 175,
    "fields": {
      "run": 139,
      "metric": "format validity",
      "noise": "1.1",
      "score": "57.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 176,
    "fields": {
      "run": 104,
      "metric": "format validity",
      "noise": "-0.9",
      "score": "51.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 177,
    "fields": {
      "run": 121,
      "metric": "format validity",
      "noise": "0.2",
      "score": "49.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 178,
    "fields": {
      "run": 150,
      "metric": "format validity",
      "noise": "1.1",
      "score": "59.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 179,
    "fields": {
      "run": 144,
      "metric": "accuracy",
      "noise": "-1.4",
      "score": "47.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 180,
    "fields": {
      "run": 15,
      "metric": "accuracy",
      "noise": "-2.5",
      "score": "52.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 181,
    "fields": {
      "run": 39,
      "metric": "accuracy",
      "noise": "0.2",
      "score": "61.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 182,
    "fields": {
      "run": 99,
      "metric": "accuracy",
      "noise": "-1.8",
      "score": "59.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 183,
    "fields": {
      "run": 126,
      "metric": "format validity",
      "noise": "-1.3",
      "score": "58.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 184,
    "fields": {
      "run": 140,
      "metric": "accuracy",
      "noise": "1.1",
      "score": "58.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 185,
    "fields": {
      "run": 147,
      "metric": "accuracy",
      "noise": "0.1",
      "score": "65.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 186,
    "fields": {
      "run": 31,
      "metric": "accuracy",
      "noise": "-0.2",
      "score": "60.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 187,
    "fields": {
      "run": 171,
      "metric": "accuracy",
      "noise": "1.6",
      "score": "55.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 188,
    "fields": {
      "run": 119,
      "metric": "accuracy",
      "noise": "1.6",
      "score": "64.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 189,
    "fields": {
      "run": 15,
      "metric": "format validity",
      "noise": "3.0",
      "score": "57.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 190,
    "fields": {
      "run": 189,
      "metric": "format validity",
      "noise": "1.2",
      "score": "55.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 191,
    "fields": {
      "run": 135,
      "metric": "accuracy",
      "noise": "2.5",
      "score": "58.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 192,
    "fields": {
      "run": 86,
      "metric": "accuracy",
      "noise": "4.0",
      "score": "51.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 193,
    "fields": {
      "run": 140,
      "metric": "format validity",
      "noise": "-0.7",
      "score": "56.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 194,
    "fields": {
      "run": 102,
      "metric": "accuracy",
      "noise": "0.5",
      "score": "58.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 195,
    "fields": {
      "run": 29,
      "metric": "format validity",
      "noise": "-1.7",
      "score": "54.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 196,
    "fields": {
      "run": 114,
      "metric": "accuracy",
      "noise": "0.2",
      "score": "55.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 197,
    "fields": {
      "run": 83,
      "metric": "accuracy",
      "noise": "-0.9",
      "score": "56.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 198,
    "fields": {
      "run": 96,
      "metric": "format validity",
      "noise": "-3.0",
      "score": "50.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 199,
    "fields": {
      "run": 181,
      "metric": "format validity",
      "noise": "1.1",
      "score": "52.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 200,
    "fields": {
      "run": 185,
      "metric": "format validity",
      "noise": "-1.9",
      "score": "53.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 201,
    "fields": {
      "run": 152,
      "metric": "accuracy",
      "noise": "-1.6",
      "score": "55.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 202,
    "fields": {
      "run": 68,
      "metric": "accuracy",
      "noise": "0.9",
      "score": "51.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 203,
    "fields": {
      "run": 182,
      "metric": "groundedness",
      "noise": "1.9",
      "score": "67.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 204,
    "fields": {
      "run": 137,
      "metric": "accuracy",
      "noise": "-1.1",
      "score": "54.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 205,
    "fields": {
      "run": 23,
      "metric": "format validity",
      "noise": "2.4",
      "score": "62.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 206,
    "fields": {
      "run": 178,
      "metric": "accuracy",
      "noise": "0.9",
      "score": "53.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 207,
    "fields": {
      "run": 189,
      "metric": "groundedness",
      "noise": "1.0",
      "score": "55.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 208,
    "fields": {
      "run": 103,
      "metric": "groundedness",
      "noise": "2.9",
      "score": "59.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 209,
    "fields": {
      "run": 49,
      "metric": "format validity",
      "noise": "0.2",
      "score": "61.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 210,
    "fields": {
      "run": 101,
      "metric": "groundedness",
      "noise": "-2.4",
      "score": "59.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 211,
    "fields": {
      "run": 55,
      "metric": "accuracy",
      "noise": "1.7",
      "score": "51.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 212,
    "fields": {
      "run": 100,
      "metric": "groundedness",
      "noise": "2.2",
      "score": "64.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 213,
    "fields": {
      "run": 56,
      "metric": "accuracy",
      "noise": "-1.6",
      "score": "52.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 214,
    "fields": {
      "run": 157,
      "metric": "groundedness",
      "noise": "1.8",
      "score": "58.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 215,
    "fields": {
      "run": 116,
      "metric": "format validity",
      "noise": "-3.2",
      "score": "53.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 216,
    "fields": {
      "run": 195,
      "metric": "accuracy",
      "noise": "-1.6",
      "score": "52.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 217,
    "fields": {
      "run": 85,
      "metric": "accuracy",
      "noise": "-1.6",
      "score": "57.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 218,
    "fields": {
      "run": 110,
      "metric": "format validity",
      "noise": "2.7",
      "score": "62.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 219,
    "fields": {
      "run": 35,
      "metric": "groundedness",
      "noise": "1.9",
      "score": "47.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 220,
    "fields": {
      "run": 178,
      "metric": "format validity",
      "noise": "1.2",
      "score": "54.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 221,
    "fields": {
      "run": 167,
      "metric": "format validity",
      "noise": "1.5",
      "score": "58.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 222,
    "fields": {
      "run": 117,
      "metric": "accuracy",
      "noise": "-1.7",
      "score": "55.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 223,
    "fields": {
      "run": 118,
      "metric": "format validity",
      "noise": "-0.5",
      "score": "53.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 224,
    "fields": {
      "run": 94,
      "metric": "accuracy",
      "noise": "1.4",
      "score": "57.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 225,
    "fields": {
      "run": 82,
      "metric": "accuracy",
      "noise": "2.4",
      "score": "62.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 226,
    "fields": {
      "run": 152,
      "metric": "format validity",
      "noise": "-3.1",
      "score": "54.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 227,
    "fields": {
      "run": 88,
      "metric": "accuracy",
      "noise": "-1.5",
      "score": "59.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 228,
    "fields": {
      "run": 170,
      "metric": "groundedness",
      "noise": "-1.9",
      "score": "45.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 229,
    "fields": {
      "run": 159,
      "metric": "format validity",
      "noise": "-1.9",
      "score": "59.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 230,
    "fields": {
      "run": 154,
      "metric": "accuracy",
      "noise": "1.7",
      "score": "60.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 231,
    "fields": {
      "run": 119,
      "metric": "format validity",
      "noise": "1.6",
      "score": "64.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 232,
    "fields": {
      "run": 40,
      "metric": "groundedness",
      "noise": "0.0",
      "score": "50.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 233,
    "fields": {
      "run": 19,
      "metric": "accuracy",
      "noise": "1.5",
      "score": "60.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 234,
    "fields": {
      "run": 28,
      "metric": "accuracy",
      "noise": "-0.7",
      "score": "55.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 235,
    "fields": {
      "run": 66,
      "metric": "accuracy",
      "noise": "0.3",
      "score": "67.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 236,
    "fields": {
      "run": 116,
      "metric": "groundedness",
      "noise": "-2.7",
      "score": "53.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 237,
    "fields": {
      "run": 169,
      "metric": "accuracy",
      "noise": "-2.1",
      "score": "45.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 238,
    "fields": {
      "run": 138,
      "metric": "format validity",
      "noise": "-0.1",
      "score": "55.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 239,
    "fields": {
      "run": 76,
      "metric": "format validity",
      "noise": "1.5",
      "score": "58.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 240,
    "fields": {
      "run": 55,
      "metric": "format validity",
      "noise": "-0.4",
      "score": "49.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 241,
    "fields": {
      "run": 149,
      "metric": "accuracy",
      "noise": "1.1",
      "score": "56.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 242,
    "fields": {
      "run": 195,
      "metric": "format validity",
      "noise": "2.3",
      "score": "56.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 243,
    "fields": {
      "run": 166,
      "metric": "accuracy",
      "noise": "2.6",
      "score": "67.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 244,
    "fields": {
      "run": 31,
      "metric": "format validity",
      "noise": "2.7",
      "score": "63.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 245,
    "fields": {
      "run": 161,
      "metric": "accuracy",
      "noise": "4.1",
      "score": "61.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 246,
    "fields": {
      "run": 21,
      "metric": "accuracy",
      "noise": "1.3",
      "score": "64.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 247,
    "fields": {
      "run": 72,
      "metric": "format validity",
      "noise": "1.1",
      "score": "60.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 248,
    "fields": {
      "run": 1,
      "metric": "accuracy",
      "noise": "-1.6",
      "score": "54.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 249,
    "fields": {
      "run": 9,
      "metric": "format validity",
      "noise": "-1.7",
      "score": "52.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 250,
    "fields": {
      "run": 161,
      "metric": "format validity",
      "noise": "-0.9",
      "score": "56.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 251,
    "fields": {
      "run": 63,
      "metric": "accuracy",
      "noise": "0.6",
      "score": "64.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 252,
    "fields": {
      "run": 84,
      "metric": "conciseness",
      "noise": "-0.1",
      "score": "55.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 253,
    "fields": {
      "run": 62,
      "metric": "format validity",
      "noise": "1.8",
      "score": "60.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 254,
    "fields": {
      "run": 3,
      "metric": "format validity",
      "noise": "1.0",
      "score": "56.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 255,
    "fields": {
      "run": 17,
      "metric": "format validity",
      "noise": "-0.2",
      "score": "61.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 256,
    "fields": {
      "run": 17,
      "metric": "groundedness",
      "noise": "3.6",
      "score": "64.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 257,
    "fields": {
      "run": 127,
      "metric": "groundedness",
      "noise": "2.6",
      "score": "55.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 258,
    "fields": {
      "run": 97,
      "metric": "accuracy",
      "noise": "0.0",
      "score": "65.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 259,
    "fields": {
      "run": 144,
      "metric": "format validity",
      "noise": "2.6",
      "score": "51.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 260,
    "fields": {
      "run": 48,
      "metric": "format validity",
      "noise": "1.0",
      "score": "66.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 261,
    "fields": {
      "run": 36,
      "metric": "accuracy",
      "noise": "0.6",
      "score": "57.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 262,
    "fields": {
      "run": 11,
      "metric": "format validity",
      "noise": "-2.9",
      "score": "65.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 263,
    "fields": {
      "run": 59,
      "metric": "format validity",
      "noise": "-1.9",
      "score": "61.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 264,
    "fields": {
      "run": 172,
      "metric": "format validity",
      "noise": "0.5",
      "score": "56.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 265,
    "fields": {
      "run": 58,
      "metric": "accuracy",
      "noise": "1.2",
      "score": "59.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 266,
    "fields": {
      "run": 135,
      "metric": "format validity",
      "noise": "-1.8",
      "score": "54.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 267,
    "fields": {
      "run": 162,
      "metric": "groundedness",
      "noise": "1.9",
      "score": "63.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 268,
    "fields": {
      "run": 175,
      "metric": "groundedness",
      "noise": "-0.7",
      "score": "53.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 269,
    "fields": {
      "run": 194,
      "metric": "format validity",
      "noise": "-2.2",
      "score": "53.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 270,
    "fields": {
      "run": 54,
      "metric": "accuracy",
      "noise": "-0.4",
      "score": "54.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 271,
    "fields": {
      "run": 169,
      "metric": "format validity",
      "noise": "3.2",
      "score": "50.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 272,
    "fields": {
      "run": 30,
      "metric": "format validity",
      "noise": "1.9",
      "score": "59.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 273,
    "fields": {
      "run": 125,
      "metric": "format validity",
      "noise": "1.7",
      "score": "66.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 274,
    "fields": {
      "run": 24,
      "metric": "accuracy",
      "noise": "2.3",
      "score": "65.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 275,
    "fields": {
      "run": 2,
      "metric": "accuracy",
      "noise": "-1.0",
      "score": "65.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 276,
    "fields": {
      "run": 68,
      "metric": "format validity",
      "noise": "0.2",
      "score": "51.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 277,
    "fields": {
      "run": 16,
      "metric": "format validity",
      "noise": "-1.2",
      "score": "61.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 278,
    "fields": {
      "run": 70,
      "metric": "accuracy",
      "noise": "0.5",
      "score": "61.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 279,
    "fields": {
      "run": 82,
      "metric": "format validity",
      "noise": "4.0",
      "score": "64.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 280,
    "fields": {
      "run": 22,
      "metric": "format validity",
      "noise": "3.2",
      "score": "59.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 281,
    "fields": {
      "run": 21,
      "metric": "format validity",
      "noise": "1.7",
      "score": "65.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 282,
    "fields": {
      "run": 160,
      "metric": "groundedness",
      "noise": "3.2",
      "score": "63.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 283,
    "fields": {
      "run": 7,
      "metric": "accuracy",
      "noise": "1.0",
      "score": "61.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 284,
    "fields": {
      "run": 164,
      "metric": "accuracy",
      "noise": "-0.5",
      "score": "61.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 285,
    "fields": {
      "run": 93,
      "metric": "accuracy",
      "noise": "0.8",
      "score": "59.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 286,
    "fields": {
      "run": 98,
      "metric": "accuracy",
      "noise": "1.2",
      "score": "53.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 287,
    "fields": {
      "run": 147,
      "metric": "format validity",
      "noise": "-0.1",
      "score": "65.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 288,
    "fields": {
      "run": 80,
      "metric": "format validity",
      "noise": "-2.6",
      "score": "61.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 289,
    "fields": {
      "run": 145,
      "metric": "format validity",
      "noise": "-0.8",
      "score": "58.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 290,
    "fields": {
      "run": 32,
      "metric": "format validity",
      "noise": "-2.3",
      "score": "60.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 291,
    "fields": {
      "run": 112,
      "metric": "format validity",
      "noise": "-0.9",
      "score": "56.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 292,
    "fields": {
      "run": 36,
      "metric": "format validity",
      "noise": "0.1",
      "score": "56.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 293,
    "fields": {
      "run": 1,
      "metric": "format validity",
      "noise": "0.6",
      "score": "56.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 294,
    "fields": {
      "run": 78,
      "metric": "accuracy",
      "noise": "-0.2",
      "score": "60.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 295,
    "fields": {
      "run": 67,
      "metric": "accuracy",
      "noise": "0.9",
      "score": "58.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 296,
    "fields": {
      "run": 77,
      "metric": "format validity",
      "noise": "-0.2",
      "score": "57.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 297,
    "fields": {
      "run": 7,
      "metric": "format validity",
      "noise": "-0.1",
      "score": "60.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 298,
    "fields": {
      "run": 14,
      "metric": "format validity",
      "noise": "0.6",
      "score": "54.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 299,
    "fields": {
      "run": 115,
      "metric": "accuracy",
      "noise": "-0.6",
      "score": "47.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 300,
    "fields": {
      "run": 135,
      "metric": "groundedness",
      "noise": "3.1",
      "score": "59.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 301,
    "fields": {
      "run": 177,
      "metric": "accuracy",
      "noise": "-0.8",
      "score": "63.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 302,
    "fields": {
      "run": 55,
      "metric": "groundedness",
      "noise": "1.1",
      "score": "50.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 303,
    "fields": {
      "run": 141,
      "metric": "conciseness",
      "noise": "1.6",
      "score": "55.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 304,
    "fields": {
      "run": 153,
      "metric": "accuracy",
      "noise": "2.6",
      "score": "52.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 305,
    "fields": {
      "run": 56,
      "metric": "format validity",
      "noise": "0.2",
      "score": "54.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 306,
    "fields": {
      "run": 80,
      "metric": "groundedness",
      "noise": "1.4",
      "score": "65.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 307,
    "fields": {
      "run": 167,
      "metric": "groundedness",
      "noise": "-0.8",
      "score": "55.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 308,
    "fields": {
      "run": 139,
      "metric": "groundedness",
      "noise": "-0.3",
      "score": "56.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 309,
    "fields": {
      "run": 166,
      "metric": "format validity",
      "noise": "2.0",
      "score": "66.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 310,
    "fields": {
      "run": 151,
      "metric": "groundedness",
      "noise": "-0.5",
      "score": "53.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 311,
    "fields": {
      "run": 182,
      "metric": "conciseness",
      "noise": "-1.3",
      "score": "64.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 312,
    "fields": {
      "run": 105,
      "metric": "accuracy",
      "noise": "0.2",
      "score": "55.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 313,
    "fields": {
      "run": 28,
      "metric": "format validity",
      "noise": "-2.5",
      "score": "53.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 314,
    "fields": {
      "run": 43,
      "metric": "format validity",
      "noise": "-0.9",
      "score": "65.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 315,
    "fields": {
      "run": 156,
      "metric": "groundedness",
      "noise": "2.2",
      "score": "52.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 316,
    "fields": {
      "run": 10,
      "metric": "accuracy",
      "noise": "1.7",
      "score": "63.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 317,
    "fields": {
      "run": 158,
      "metric": "accuracy",
      "noise": "-1.8",
      "score": "60.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 318,
    "fields": {
      "run": 37,
      "metric": "format validity",
      "noise": "-0.2",
      "score": "54.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 319,
    "fields": {
      "run": 129,
      "metric": "accuracy",
      "noise": "-1.6",
      "score": "52.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 320,
    "fields": {
      "run": 177,
      "metric": "format validity",
      "noise": "-1.6",
      "score": "62.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 321,
    "fields": {
      "run": 155,
      "metric": "groundedness",
      "noise": "1.5",
      "score": "59.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 322,
    "fields": {
      "run": 126,
      "metric": "groundedness",
      "noise": "-2.0",
      "score": "57.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 323,
    "fields": {
      "run": 157,
      "metric": "conciseness",
      "noise": "-3.3",
      "score": "52.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 324,
    "fields": {
      "run": 112,
      "metric": "groundedness",
      "noise": "1.4",
      "score": "58.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 325,
    "fields": {
      "run": 29,
      "metric": "groundedness",
      "noise": "-0.1",
      "score": "55.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 326,
    "fields": {
      "run": 24,
      "metric": "format validity",
      "noise": "-3.6",
      "score": "59.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 327,
    "fields": {
      "run": 188,
      "metric": "format validity",
      "noise": "0.1",
      "score": "69.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 328,
    "fields": {
      "run": 183,
      "metric": "accuracy",
      "noise": "0.2",
      "score": "54.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 329,
    "fields": {
      "run": 58,
      "metric": "format validity",
      "noise": "-1.9",
      "score": "56.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 330,
    "fields": {
      "run": 144,
      "metric": "groundedness",
      "noise": "0.8",
      "score": "49.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 331,
    "fields": {
      "run": 109,
      "metric": "format validity",
      "noise": "1.2",
      "score": "50.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 332,
    "fields": {
      "run": 190,
      "metric": "format validity",
      "noise": "1.1",
      "score": "59.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 333,
    "fields": {
      "run": 165,
      "metric": "groundedness",
      "noise": "-1.1",
      "score": "51.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 334,
    "fields": {
      "run": 137,
      "metric": "format validity",
      "noise": "0.2",
      "score": "55.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 335,
    "fields": {
      "run": 94,
      "metric": "format validity",
      "noise": "-0.3",
      "score": "55.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 336,
    "fields": {
      "run": 131,
      "metric": "accuracy",
      "noise": "-1.5",
      "score": "61.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 337,
    "fields": {
      "run": 187,
      "metric": "conciseness",
      "noise": "-0.3",
      "score": "59.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 338,
    "fields": {
      "run": 51,
      "metric": "format validity",
      "noise": "0.7",
      "score": "72.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 339,
    "fields": {
      "run": 183,
      "metric": "format validity",
      "noise": "2.5",
      "score": "56.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 340,
    "fields": {
      "run": 122,
      "metric": "accuracy",
      "noise": "1.7",
      "score": "64.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 341,
    "fields": {
      "run": 135,
      "metric": "conciseness",
      "noise": "-0.2",
      "score": "55.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 342,
    "fields": {
      "run": 110,
      "metric": "groundedness",
      "noise": "2.4",
      "score": "62.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 343,
    "fields": {
      "run": 102,
      "metric": "format validity",
      "noise": "-0.4",
      "score": "58.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 344,
    "fields": {
      "run": 194,
      "metric": "groundedness",
      "noise": "-0.6",
      "score": "55.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 345,
    "fields": {
      "run": 129,
      "metric": "format validity",
      "noise": "-0.3",
      "score": "53.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 346,
    "fields": {
      "run": 176,
      "metric": "accuracy",
      "noise": "1.7",
      "score": "63.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 347,
    "fields": {
      "run": 183,
      "metric": "groundedness",
      "noise": "2.4",
      "score": "56.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 348,
    "fields": {
      "run": 167,
      "metric": "conciseness",
      "noise": "1.4",
      "score": "58.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 349,
    "fields": {
      "run": 174,
      "metric": "accuracy",
      "noise": "-0.2",
      "score": "56.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 350,
    "fields": {
      "run": 168,
      "metric": "format validity",
      "noise": "-1.6",
      "score": "41.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 351,
    "fields": {
      "run": 94,
      "metric": "groundedness",
      "noise": "-4.1",
      "score": "51.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 352,
    "fields": {
      "run": 103,
      "metric": "conciseness",
      "noise": "-1.0",
      "score": "55.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 353,
    "fields": {
      "run": 173,
      "metric": "format validity",
      "noise": "1.1",
      "score": "51.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 354,
    "fields": {
      "run": 155,
      "metric": "conciseness",
      "noise": "1.0",
      "score": "59.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 355,
    "fields": {
      "run": 185,
      "metric": "groundedness",
      "noise": "-1.2",
      "score": "54.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 356,
    "fields": {
      "run": 46,
      "metric": "groundedness",
      "noise": "-1.5",
      "score": "53.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 357,
    "fields": {
      "run": 123,
      "metric": "conciseness",
      "noise": "-1.2",
      "score": "60.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 358,
    "fields": {
      "run": 12,
      "metric": "format validity",
      "noise": "2.0",
      "score": "58.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 359,
    "fields": {
      "run": 179,
      "metric": "format validity",
      "noise": "-1.6",
      "score": "55.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 360,
    "fields": {
      "run": 83,
      "metric": "format validity",
      "noise": "0.5",
      "score": "58.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 361,
    "fields": {
      "run": 102,
      "metric": "groundedness",
      "noise": "-1.5",
      "score": "56.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 362,
    "fields": {
      "run": 183,
      "metric": "conciseness",
      "noise": "1.8",
      "score": "56.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 363,
    "fields": {
      "run": 176,
      "metric": "format validity",
      "noise": "2.1",
      "score": "64.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 364,
    "fields": {
      "run": 98,
      "metric": "format validity",
      "noise": "-1.0",
      "score": "51.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 365,
    "fields": {
      "run": 119,
      "metric": "groundedness",
      "noise": "-1.6",
      "score": "60.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 366,
    "fields": {
      "run": 169,
      "metric": "groundedness",
      "noise": "2.3",
      "score": "49.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 367,
    "fields": {
      "run": 6,
      "metric": "groundedness",
      "noise": "-1.5",
      "score": "59.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 368,
    "fields": {
      "run": 153,
      "metric": "format validity",
      "noise": "0.3",
      "score": "49.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 369,
    "fields": {
      "run": 31,
      "metric": "groundedness",
      "noise": "1.9",
      "score": "62.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 370,
    "fields": {
      "run": 87,
      "metric": "accuracy",
      "noise": "0.4",
      "score": "49.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 371,
    "fields": {
      "run": 150,
      "metric": "groundedness",
      "noise": "2.0",
      "score": "60.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 372,
    "fields": {
      "run": 106,
      "metric": "accuracy",
      "noise": "0.7",
      "score": "50.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 373,
    "fields": {
      "run": 65,
      "metric": "format validity",
      "noise": "1.8",
      "score": "59.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 374,
    "fields": {
      "run": 136,
      "metric": "accuracy",
      "noise": "0.0",
      "score": "65.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 375,
    "fields": {
      "run": 164,
      "metric": "format validity",
      "noise": "0.2",
      "score": "62.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 376,
    "fields": {
      "run": 69,
      "metric": "format validity",
      "noise": "-1.1",
      "score": "56.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 377,
    "fields": {
      "run": 128,
      "metric": "groundedness",
      "noise": "-0.1",
      "score": "47.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 378,
    "fields": {
      "run": 90,
      "metric": "accuracy",
      "noise": "-0.9",
      "score": "64.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 379,
    "fields": {
      "run": 146,
      "metric": "accuracy",
      "noise": "-2.0",
      "score": "47.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 380,
    "fields": {
      "run": 38,
      "metric": "format validity",
      "noise": "-4.5",
      "score": "51.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 381,
    "fields": {
      "run": 57,
      "metric": "format validity",
      "noise": "1.2",
      "score": "66.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 382,
    "fields": {
      "run": 27,
      "metric": "groundedness",
      "noise": "1.3",
      "score": "61.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 383,
    "fields": {
      "run": 111,
      "metric": "groundedness",
      "noise": "0.2",
      "score": "59.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 384,
    "fields": {
      "run": 59,
      "metric": "groundedness",
      "noise": "0.5",
      "score": "63.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 385,
    "fields": {
      "run": 175,
      "metric": "conciseness",
      "noise": "-0.7",
      "score": "53.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 386,
    "fields": {
      "run": 64,
      "metric": "format validity",
      "noise": "0.0",
      "score": "50.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 387,
    "fields": {
      "run": 55,
      "metric": "conciseness",
      "noise": "-0.7",
      "score": "48.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 388,
    "fields": {
      "run": 26,
      "metric": "conciseness",
      "noise": "-0.5",
      "score": "60.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 389,
    "fields": {
      "run": 193,
      "metric": "accuracy",
      "noise": "-0.4",
      "score": "58.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 390,
    "fields": {
      "run": 34,
      "metric": "conciseness",
      "noise": "-3.6",
      "score": "62.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 391,
    "fields": {
      "run": 52,
      "metric": "groundedness",
      "noise": "-0.4",
      "score": "60.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 392,
    "fields": {
      "run": 179,
      "metric": "groundedness",
      "noise": "3.5",
      "score": "60.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 393,
    "fields": {
      "run": 118,
      "metric": "groundedness",
      "noise": "2.2",
      "score": "56.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 394,
    "fields": {
      "run": 2,
      "metric": "format validity",
      "noise": "-0.3",
      "score": "66.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 395,
    "fields": {
      "run": 172,
      "metric": "groundedness",
      "noise": "3.3",
      "score": "59.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 396,
    "fields": {
      "run": 115,
      "metric": "format validity",
      "noise": "-1.3",
      "score": "47.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 397,
    "fields": {
      "run": 56,
      "metric": "groundedness",
      "noise": "0.3",
      "score": "54.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 398,
    "fields": {
      "run": 129,
      "metric": "groundedness",
      "noise": "-3.5",
      "score": "50.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 399,
    "fields": {
      "run": 125,
      "metric": "groundedness",
      "noise": "-0.5",
      "score": "64.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 400,
    "fields": {
      "run": 107,
      "metric": "groundedness",
      "noise": "-0.5",
      "score": "64.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 401,
    "fields": {
      "run": 96,
      "metric": "groundedness",
      "noise": "0.5",
      "score": "53.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 402,
    "fields": {
      "run": 148,
      "metric": "format validity",
      "noise": "1.2",
      "score": "60.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 403,
    "fields": {
      "run": 176,
      "metric": "groundedness",
      "noise": "-3.9",
      "score": "58.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 404,
    "fields": {
      "run": 77,
      "metric": "groundedness",
      "noise": "-2.6",
      "score": "54.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 405,
    "fields": {
      "run": 162,
      "metric": "conciseness",
      "noise": "1.3",
      "score": "63.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 406,
    "fields": {
      "run": 38,
      "metric": "groundedness",
      "noise": "1.1",
      "score": "56.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 407,
    "fields": {
      "run": 163,
      "metric": "groundedness",
      "noise": "1.9",
      "score": "59.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 408,
    "fields": {
      "run": 91,
      "metric": "format validity",
      "noise": "-1.3",
      "score": "61.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 409,
    "fields": {
      "run": 133,
      "metric": "accuracy",
      "noise": "-1.4",
      "score": "54.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 410,
    "fields": {
      "run": 92,
      "metric": "accuracy",
      "noise": "0.8",
      "score": "63.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 411,
    "fields": {
      "run": 66,
      "metric": "format validity",
      "noise": "1.4",
      "score": "68.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 412,
    "fields": {
      "run": 124,
      "metric": "format validity",
      "noise": "1.2",
      "score": "57.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 413,
    "fields": {
      "run": 184,
      "metric": "groundedness",
      "noise": "-1.0",
      "score": "62.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 414,
    "fields": {
      "run": 54,
      "metric": "format validity",
      "noise": "-2.3",
      "score": "52.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 415,
    "fields": {
      "run": 188,
      "metric": "groundedness",
      "noise": "0.8",
      "score": "69.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 416,
    "fields": {
      "run": 39,
      "metric": "format validity",
      "noise": "-1.1",
      "score": "60.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 417,
    "fields": {
      "run": 37,
      "metric": "groundedness",
      "noise": "1.3",
      "score": "56.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 418,
    "fields": {
      "run": 15,
      "metric": "groundedness",
      "noise": "-2.5",
      "score": "52.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 419,
    "fields": {
      "run": 63,
      "metric": "format validity",
      "noise": "-0.9",
      "score": "62.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 420,
    "fields": {
      "run": 52,
      "metric": "conciseness",
      "noise": "-0.3",
      "score": "60.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 421,
    "fields": {
      "run": 21,
      "metric": "groundedness",
      "noise": "-0.2",
      "score": "63.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 422,
    "fields": {
      "run": 20,
      "metric": "accuracy",
      "noise": "-0.9",
      "score": "60.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 423,
    "fields": {
      "run": 112,
      "metric": "conciseness",
      "noise": "-0.8",
      "score": "56.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 424,
    "fields": {
      "run": 89,
      "metric": "format validity",
      "noise": "0.4",
      "score": "43.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 425,
    "fields": {
      "run": 197,
      "metric": "format validity",
      "noise": "-1.2",
      "score": "56.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 426,
    "fields": {
      "run": 80,
      "metric": "conciseness",
      "noise": "1.8",
      "score": "66.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 427,
    "fields": {
      "run": 109,
      "metric": "groundedness",
      "noise": "-0.5",
      "score": "48.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 428,
    "fields": {
      "run": 49,
      "metric": "groundedness",
      "noise": "0.8",
      "score": "61.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 429,
    "fields": {
      "run": 180,
      "metric": "accuracy",
      "noise": "-2.6",
      "score": "60.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 430,
    "fields": {
      "run": 50,
      "metric": "accuracy",
      "noise": "-0.2",
      "score": "62.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 431,
    "fields": {
      "run": 45,
      "metric": "accuracy",
      "noise": "-3.3",
      "score": "55.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 432,
    "fields": {
      "run": 13,
      "metric": "format validity",
      "noise": "-1.4",
      "score": "64.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 433,
    "fields": {
      "run": 87,
      "metric": "format validity",
      "noise": "-0.3",
      "score": "49.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 434,
    "fields": {
      "run": 134,
      "metric": "groundedness",
      "noise": "2.1",
      "score": "64.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 435,
    "fields": {
      "run": 122,
      "metric": "format validity",
      "noise": "2.8",
      "score": "65.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 436,
    "fields": {
      "run": 186,
      "metric": "format validity",
      "noise": "-0.8",
      "score": "62.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 437,
    "fields": {
      "run": 131,
      "metric": "format validity",
      "noise": "0.7",
      "score": "64.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 438,
    "fields": {
      "run": 142,
      "metric": "groundedness",
      "noise": "1.6",
      "score": "55.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 439,
    "fields": {
      "run": 154,
      "metric": "format validity",
      "noise": "4.2",
      "score": "62.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 440,
    "fields": {
      "run": 191,
      "metric": "conciseness",
      "noise": "2.9",
      "score": "60.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 441,
    "fields": {
      "run": 139,
      "metric": "conciseness",
      "noise": "0.6",
      "score": "57.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 442,
    "fields": {
      "run": 45,
      "metric": "format validity",
      "noise": "2.0",
      "score": "60.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 443,
    "fields": {
      "run": 120,
      "metric": "accuracy",
      "noise": "-1.3",
      "score": "61.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 444,
    "fields": {
      "run": 88,
      "metric": "format validity",
      "noise": "1.7",
      "score": "62.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 445,
    "fields": {
      "run": 42,
      "metric": "accuracy",
      "noise": "0.6",
      "score": "56.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 446,
    "fields": {
      "run": 115,
      "metric": "groundedness",
      "noise": "0.3",
      "score": "48.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 447,
    "fields": {
      "run": 166,
      "metric": "groundedness",
      "noise": "-2.3",
      "score": "62.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 448,
    "fields": {
      "run": 87,
      "metric": "groundedness",
      "noise": "-2.5",
      "score": "46.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 449,
    "fields": {
      "run": 176,
      "metric": "conciseness",
      "noise": "-3.6",
      "score": "58.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 450,
    "fields": {
      "run": 136,
      "metric": "format validity",
      "noise": "1.6",
      "score": "67.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 451,
    "fields": {
      "run": 58,
      "metric": "groundedness",
      "noise": "-0.1",
      "score": "57.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 452,
    "fields": {
      "run": 134,
      "metric": "conciseness",
      "noise": "-0.5",
      "score": "61.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 453,
    "fields": {
      "run": 148,
      "metric": "groundedness",
      "noise": "4.9",
      "score": "63.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 454,
    "fields": {
      "run": 7,
      "metric": "groundedness",
      "noise": "1.9",
      "score": "62.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 455,
    "fields": {
      "run": 150,
      "metric": "conciseness",
      "noise": "-3.5",
      "score": "55.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 456,
    "fields": {
      "run": 165,
      "metric": "conciseness",
      "noise": "-1.2",
      "score": "51.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 457,
    "fields": {
      "run": 99,
      "metric": "format validity",
      "noise": "1.4",
      "score": "62.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 458,
    "fields": {
      "run": 89,
      "metric": "groundedness",
      "noise": "-0.3",
      "score": "42.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 459,
    "fields": {
      "run": 74,
      "metric": "accuracy",
      "noise": "-3.4",
      "score": "50.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 460,
    "fields": {
      "run": 41,
      "metric": "accuracy",
      "noise": "-1.4",
      "score": "47.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 461,
    "fields": {
      "run": 73,
      "metric": "format validity",
      "noise": "1.5",
      "score": "61.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 462,
    "fields": {
      "run": 114,
      "metric": "format validity",
      "noise": "-0.2",
      "score": "55.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 463,
    "fields": {
      "run": 124,
      "metric": "groundedness",
      "noise": "-0.2",
      "score": "56.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 464,
    "fields": {
      "run": 102,
      "metric": "conciseness",
      "noise": "1.5",
      "score": "59.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 465,
    "fields": {
      "run": 70,
      "metric": "format validity",
      "noise": "0.2",
      "score": "61.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 466,
    "fields": {
      "run": 37,
      "metric": "conciseness",
      "noise": "0.8",
      "score": "55.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 467,
    "fields": {
      "run": 170,
      "metric": "conciseness",
      "noise": "-3.1",
      "score": "44.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 468,
    "fields": {
      "run": 104,
      "metric": "groundedness",
      "noise": "0.5",
      "score": "53.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 469,
    "fields": {
      "run": 154,
      "metric": "groundedness",
      "noise": "1.0",
      "score": "59.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 470,
    "fields": {
      "run": 33,
      "metric": "format validity",
      "noise": "-1.9",
      "score": "65.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 471,
    "fields": {
      "run": 174,
      "metric": "format validity",
      "noise": "-3.5",
      "score": "53.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 472,
    "fields": {
      "run": 92,
      "metric": "format validity",
      "noise": "1.8",
      "score": "64.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 473,
    "fields": {
      "run": 190,
      "metric": "groundedness",
      "noise": "-4.6",
      "score": "53.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 474,
    "fields": {
      "run": 149,
      "metric": "format validity",
      "noise": "-3.2",
      "score": "51.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 475,
    "fields": {
      "run": 28,
      "metric": "groundedness",
      "noise": "-1.7",
      "score": "54.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 476,
    "fields": {
      "run": 13,
      "metric": "groundedness",
      "noise": "1.9",
      "score": "67.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 477,
    "fields": {
      "run": 51,
      "metric": "groundedness",
      "noise": "-1.9",
      "score": "69.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 478,
    "fields": {
      "run": 126,
      "metric": "conciseness",
      "noise": "0.8",
      "score": "60.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 479,
    "fields": {
      "run": 133,
      "metric": "format validity",
      "noise": "1.8",
      "score": "57.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 480,
    "fields": {
      "run": 129,
      "metric": "conciseness",
      "noise": "1.0",
      "score": "54.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 481,
    "fields": {
      "run": 23,
      "metric": "groundedness",
      "noise": "1.2",
      "score": "61.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 482,
    "fields": {
      "run": 159,
      "metric": "groundedness",
      "noise": "3.4",
      "score": "64.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 483,
    "fields": {
      "run": 25,
      "metric": "accuracy",
      "noise": "1.7",
      "score": "61.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 484,
    "fields": {
      "run": 43,
      "metric": "groundedness",
      "noise": "0.4",
      "score": "66.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 485,
    "fields": {
      "run": 91,
      "metric": "groundedness",
      "noise": "2.8",
      "score": "65.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 486,
    "fields": {
      "run": 161,
      "metric": "groundedness",
      "noise": "0.2",
      "score": "57.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 487,
    "fields": {
      "run": 132,
      "metric": "groundedness",
      "noise": "0.9",
      "score": "68.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 488,
    "fields": {
      "run": 75,
      "metric": "accuracy",
      "noise": "0.8",
      "score": "51.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 489,
    "fields": {
      "run": 81,
      "metric": "groundedness",
      "noise": "3.3",
      "score": "68.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 490,
    "fields": {
      "run": 108,
      "metric": "accuracy",
      "noise": "2.6",
      "score": "61.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 491,
    "fields": {
      "run": 39,
      "metric": "groundedness",
      "noise": "-0.5",
      "score": "61.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 492,
    "fields": {
      "run": 178,
      "metric": "groundedness",
      "noise": "-0.4",
      "score": "52.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 493,
    "fields": {
      "run": 168,
      "metric": "groundedness",
      "noise": "-0.3",
      "score": "42.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 494,
    "fields": {
      "run": 36,
      "metric": "groundedness",
      "noise": "-1.3",
      "score": "55.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 495,
    "fields": {
      "run": 137,
      "metric": "groundedness",
      "noise": "0.7",
      "score": "56.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 496,
    "fields": {
      "run": 193,
      "metric": "format validity",
      "noise": "-3.3",
      "score": "55.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 497,
    "fields": {
      "run": 64,
      "metric": "groundedness",
      "noise": "2.2",
      "score": "52.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 498,
    "fields": {
      "run": 20,
      "metric": "format validity",
      "noise": "0.3",
      "score": "61.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 499,
    "fields": {
      "run": 186,
      "metric": "groundedness",
      "noise": "0.3",
      "score": "63.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 500,
    "fields": {
      "run": 92,
      "metric": "groundedness",
      "noise": "-1.2",
      "score": "61.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 501,
    "fields": {
      "run": 85,
      "metric": "format validity",
      "noise": "1.5",
      "score": "60.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 502,
    "fields": {
      "run": 192,
      "metric": "format validity",
      "noise": "2.1",
      "score": "65.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 503,
    "fields": {
      "run": 76,
      "metric": "groundedness",
      "noise": "-1.2",
      "score": "55.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 504,
    "fields": {
      "run": 29,
      "metric": "conciseness",
      "noise": "0.3",
      "score": "56.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 505,
    "fields": {
      "run": 161,
      "metric": "conciseness",
      "noise": "1.0",
      "score": "58.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 506,
    "fields": {
      "run": 79,
      "metric": "groundedness",
      "noise": "2.1",
      "score": "49.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 507,
    "fields": {
      "run": 63,
      "metric": "groundedness",
      "noise": "0.2",
      "score": "63.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 508,
    "fields": {
      "run": 5,
      "metric": "format validity",
      "noise": "2.3",
      "score": "68.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 509,
    "fields": {
      "run": 171,
      "metric": "format validity",
      "noise": "0.5",
      "score": "54.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 510,
    "fields": {
      "run": 188,
      "metric": "conciseness",
      "noise": "-0.7",
      "score": "68.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 511,
    "fields": {
      "run": 70,
      "metric": "groundedness",
      "noise": "1.4",
      "score": "62.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 512,
    "fields": {
      "run": 114,
      "metric": "groundedness",
      "noise": "-1.2",
      "score": "54.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 513,
    "fields": {
      "run": 116,
      "metric": "conciseness",
      "noise": "2.4",
      "score": "58.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 514,
    "fields": {
      "run": 41,
      "metric": "format validity",
      "noise": "-0.5",
      "score": "48.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 515,
    "fields": {
      "run": 89,
      "metric": "conciseness",
      "noise": "-2.4",
      "score": "40.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 516,
    "fields": {
      "run": 67,
      "metric": "format validity",
      "noise": "0.2",
      "score": "57.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 517,
    "fields": {
      "run": 79,
      "metric": "conciseness",
      "noise": "-0.6",
      "score": "47.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 518,
    "fields": {
      "run": 78,
      "metric": "format validity",
      "noise": "-2.4",
      "score": "58.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 519,
    "fields": {
      "run": 10,
      "metric": "format validity",
      "noise": "0.0",
      "score": "61.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 520,
    "fields": {
      "run": 147,
      "metric": "groundedness",
      "noise": "-1.7",
      "score": "63.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 521,
    "fields": {
      "run": 142,
      "metric": "conciseness",
      "noise": "-0.7",
      "score": "52.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 522,
    "fields": {
      "run": 88,
      "metric": "groundedness",
      "noise": "-0.2",
      "score": "60.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 523,
    "fields": {
      "run": 87,
      "metric": "conciseness",
      "noise": "1.9",
      "score": "51.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 524,
    "fields": {
      "run": 75,
      "metric": "format validity",
      "noise": "-1.3",
      "score": "49.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 525,
    "fields": {
      "run": 166,
      "metric": "conciseness",
      "noise": "-0.2",
      "score": "64.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 526,
    "fields": {
      "run": 35,
      "metric": "conciseness",
      "noise": "-0.1",
      "score": "45.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 527,
    "fields": {
      "run": 15,
      "metric": "conciseness",
      "noise": "0.4",
      "score": "55.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 528,
    "fields": {
      "run": 25,
      "metric": "format validity",
      "noise": "3.3",
      "score": "63.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 529,
    "fields": {
      "run": 91,
      "metric": "conciseness",
      "noise": "-1.2",
      "score": "61.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 530,
    "fields": {
      "run": 111,
      "metric": "conciseness",
      "noise": "2.8",
      "score": "61.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 531,
    "fields": {
      "run": 32,
      "metric": "groundedness",
      "noise": "0.7",
      "score": "63.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 532,
    "fields": {
      "run": 31,
      "metric": "conciseness",
      "noise": "0.4",
      "score": "60.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 533,
    "fields": {
      "run": 117,
      "metric": "format validity",
      "noise": "-1.2",
      "score": "56.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 534,
    "fields": {
      "run": 173,
      "metric": "groundedness",
      "noise": "0.0",
      "score": "50.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 535,
    "fields": {
      "run": 50,
      "metric": "format validity",
      "noise": "-1.4",
      "score": "61.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 536,
    "fields": {
      "run": 28,
      "metric": "conciseness",
      "noise": "-0.7",
      "score": "55.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 537,
    "fields": {
      "run": 147,
      "metric": "conciseness",
      "noise": "-1.1",
      "score": "64.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 538,
    "fields": {
      "run": 93,
      "metric": "format validity",
      "noise": "-2.1",
      "score": "56.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 539,
    "fields": {
      "run": 86,
      "metric": "format validity",
      "noise": "-0.6",
      "score": "46.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 540,
    "fields": {
      "run": 8,
      "metric": "groundedness",
      "noise": "-0.8",
      "score": "58.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 541,
    "fields": {
      "run": 68,
      "metric": "groundedness",
      "noise": "0.7",
      "score": "51.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 542,
    "fields": {
      "run": 67,
      "metric": "groundedness",
      "noise": "-2.5",
      "score": "54.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 543,
    "fields": {
      "run": 158,
      "metric": "format validity",
      "noise": "-0.5",
      "score": "61.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 544,
    "fields": {
      "run": 17,
      "metric": "conciseness",
      "noise": "-2.6",
      "score": "58.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 545,
    "fields": {
      "run": 136,
      "metric": "groundedness",
      "noise": "-1.2",
      "score": "64.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 546,
    "fields": {
      "run": 69,
      "metric": "groundedness",
      "noise": "2.9",
      "score": "60.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 547,
    "fields": {
      "run": 90,
      "metric": "format validity",
      "noise": "0.6",
      "score": "66.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 548,
    "fields": {
      "run": 97,
      "metric": "format validity",
      "noise": "0.6",
      "score": "66.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 549,
    "fields": {
      "run": 75,
      "metric": "groundedness",
      "noise": "-0.3",
      "score": "50.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 550,
    "fields": {
      "run": 12,
      "metric": "groundedness",
      "noise": "-0.3",
      "score": "56.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 551,
    "fields": {
      "run": 50,
      "metric": "groundedness",
      "noise": "0.6",
      "score": "63.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 552,
    "fields": {
      "run": 106,
      "metric": "format validity",
      "noise": "2.4",
      "score": "51.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 553,
    "fields": {
      "run": 68,
      "metric": "conciseness",
      "noise": "-3.3",
      "score": "47.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 554,
    "fields": {
      "run": 105,
      "metric": "format validity",
      "noise": "0.7",
      "score": "56.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 555,
    "fields": {
      "run": 72,
      "metric": "groundedness",
      "noise": "0.0",
      "score": "59.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 556,
    "fields": {
      "run": 53,
      "metric": "groundedness",
      "noise": "-0.4",
      "score": "60.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 557,
    "fields": {
      "run": 83,
      "metric": "groundedness",
      "noise": "0.1",
      "score": "57.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 558,
    "fields": {
      "run": 48,
      "metric": "groundedness",
      "noise": "-1.8",
      "score": "63.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 559,
    "fields": {
      "run": 174,
      "metric": "groundedness",
      "noise": "2.1",
      "score": "59.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 560,
    "fields": {
      "run": 125,
      "metric": "conciseness",
      "noise": "-2.8",
      "score": "62.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 561,
    "fields": {
      "run": 173,
      "metric": "conciseness",
      "noise": "0.1",
      "score": "50.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 562,
    "fields": {
      "run": 124,
      "metric": "conciseness",
      "noise": "0.9",
      "score": "57.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 563,
    "fields": {
      "run": 16,
      "metric": "groundedness",
      "noise": "-2.6",
      "score": "59.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 564,
    "fields": {
      "run": 14,
      "metric": "groundedness",
      "noise": "-4.5",
      "score": "49.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 565,
    "fields": {
      "run": 130,
      "metric": "format validity",
      "noise": "0.7",
      "score": "53.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 566,
    "fields": {
      "run": 138,
      "metric": "groundedness",
      "noise": "0.8",
      "score": "56.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 567,
    "fields": {
      "run": 108,
      "metric": "format validity",
      "noise": "2.9",
      "score": "62.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 568,
    "fields": {
      "run": 1,
      "metric": "groundedness",
      "noise": "1.6",
      "score": "57.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 569,
    "fields": {
      "run": 39,
      "metric": "conciseness",
      "noise": "-2.1",
      "score": "59.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 570,
    "fields": {
      "run": 70,
      "metric": "conciseness",
      "noise": "0.2",
      "score": "61.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 571,
    "fields": {
      "run": 113,
      "metric": "groundedness",
      "noise": "1.9",
      "score": "65.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 572,
    "fields": {
      "run": 4,
      "metric": "groundedness",
      "noise": "-1.2",
      "score": "56.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 573,
    "fields": {
      "run": 47,
      "metric": "accuracy",
      "noise": "-2.5",
      "score": "46.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 574,
    "fields": {
      "run": 53,
      "metric": "conciseness",
      "noise": "1.7",
      "score": "62.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 575,
    "fields": {
      "run": 160,
      "metric": "conciseness",
      "noise": "2.0",
      "score": "61.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 576,
    "fields": {
      "run": 54,
      "metric": "groundedness",
      "noise": "0.7",
      "score": "55.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 577,
    "fields": {
      "run": 159,
      "metric": "conciseness",
      "noise": "1.0",
      "score": "62.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 578,
    "fields": {
      "run": 143,
      "metric": "format validity",
      "noise": "-0.7",
      "score": "65.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 579,
    "fields": {
      "run": 10,
      "metric": "groundedness",
      "noise": "1.7",
      "score": "63.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 580,
    "fields": {
      "run": 24,
      "metric": "groundedness",
      "noise": "-0.7",
      "score": "62.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 581,
    "fields": {
      "run": 19,
      "metric": "format validity",
      "noise": "1.6",
      "score": "61.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 582,
    "fields": {
      "run": 97,
      "metric": "groundedness",
      "noise": "-2.1",
      "score": "63.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 583,
    "fields": {
      "run": 60,
      "metric": "groundedness",
      "noise": "-2.6",
      "score": "45.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 584,
    "fields": {
      "run": 90,
      "metric": "groundedness",
      "noise": "-0.5",
      "score": "65.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 585,
    "fields": {
      "run": 61,
      "metric": "groundedness",
      "noise": "-1.4",
      "score": "64.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 586,
    "fields": {
      "run": 95,
      "metric": "groundedness",
      "noise": "-1.0",
      "score": "66.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 587,
    "fields": {
      "run": 27,
      "metric": "conciseness",
      "noise": "-1.1",
      "score": "59.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 588,
    "fields": {
      "run": 152,
      "metric": "groundedness",
      "noise": "2.3",
      "score": "59.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 589,
    "fields": {
      "run": 63,
      "metric": "conciseness",
      "noise": "2.3",
      "score": "65.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 590,
    "fields": {
      "run": 12,
      "metric": "conciseness",
      "noise": "-1.4",
      "score": "55.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 591,
    "fields": {
      "run": 105,
      "metric": "groundedness",
      "noise": "0.0",
      "score": "55.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 592,
    "fields": {
      "run": 95,
      "metric": "conciseness",
      "noise": "-0.2",
      "score": "67.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 593,
    "fields": {
      "run": 100,
      "metric": "conciseness",
      "noise": "2.0",
      "score": "64.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 594,
    "fields": {
      "run": 168,
      "metric": "conciseness",
      "noise": "1.3",
      "score": "44.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 595,
    "fields": {
      "run": 180,
      "metric": "format validity",
      "noise": "-0.2",
      "score": "63.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 596,
    "fields": {
      "run": 179,
      "metric": "conciseness",
      "noise": "2.8",
      "score": "60.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 597,
    "fields": {
      "run": 74,
      "metric": "format validity",
      "noise": "2.5",
      "score": "56.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 598,
    "fields": {
      "run": 75,
      "metric": "conciseness",
      "noise": "4.9",
      "score": "55.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 599,
    "fields": {
      "run": 169,
      "metric": "conciseness",
      "noise": "0.8",
      "score": "48.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 600,
    "fields": {
      "run": 85,
      "metric": "groundedness",
      "noise": "-1.6",
      "score": "57.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 601,
    "fields": {
      "run": 108,
      "metric": "groundedness",
      "noise": "0.3",
      "score": "59.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 602,
    "fields": {
      "run": 42,
      "metric": "format validity",
      "noise": "0.2",
      "score": "55.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 603,
    "fields": {
      "run": 151,
      "metric": "conciseness",
      "noise": "1.2",
      "score": "55.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 604,
    "fields": {
      "run": 77,
      "metric": "conciseness",
      "noise": "0.0",
      "score": "57.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 605,
    "fields": {
      "run": 158,
      "metric": "groundedness",
      "noise": "2.2",
      "score": "64.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 606,
    "fields": {
      "run": 93,
      "metric": "groundedness",
      "noise": "-1.3",
      "score": "57.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 607,
    "fields": {
      "run": 4,
      "metric": "conciseness",
      "noise": "0.6",
      "score": "58.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 608,
    "fields": {
      "run": 136,
      "metric": "conciseness",
      "noise": "3.4",
      "score": "69.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 609,
    "fields": {
      "run": 65,
      "metric": "groundedness",
      "noise": "0.2",
      "score": "57.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 610,
    "fields": {
      "run": 38,
      "metric": "conciseness",
      "noise": "-1.2",
      "score": "54.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 611,
    "fields": {
      "run": 78,
      "metric": "groundedness",
      "noise": "3.3",
      "score": "64.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 612,
    "fields": {
      "run": 96,
      "metric": "conciseness",
      "noise": "1.2",
      "score": "54.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 613,
    "fields": {
      "run": 6,
      "metric": "conciseness",
      "noise": "-0.4",
      "score": "60.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 614,
    "fields": {
      "run": 60,
      "metric": "conciseness",
      "noise": "0.3",
      "score": "48.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 615,
    "fields": {
      "run": 110,
      "metric": "conciseness",
      "noise": "-1.8",
      "score": "58.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 616,
    "fields": {
      "run": 120,
      "metric": "format validity",
      "noise": "0.3",
      "score": "62.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 617,
    "fields": {
      "run": 101,
      "metric": "conciseness",
      "noise": "-0.1",
      "score": "62.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 618,
    "fields": {
      "run": 5,
      "metric": "groundedness",
      "noise": "1.4",
      "score": "67.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 619,
    "fields": {
      "run": 193,
      "metric": "groundedness",
      "noise": "0.5",
      "score": "59.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 620,
    "fields": {
      "run": 196,
      "metric": "format validity",
      "noise": "2.4",
      "score": "57.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 621,
    "fields": {
      "run": 122,
      "metric": "groundedness",
      "noise": "2.3",
      "score": "64.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 622,
    "fields": {
      "run": 146,
      "metric": "format validity",
      "noise": "1.6",
      "score": "51.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 623,
    "fields": {
      "run": 65,
      "metric": "conciseness",
      "noise": "2.7",
      "score": "60.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 624,
    "fields": {
      "run": 10,
      "metric": "conciseness",
      "noise": "-1.9",
      "score": "60.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 625,
    "fields": {
      "run": 64,
      "metric": "conciseness",
      "noise": "-2.6",
      "score": "47.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 626,
    "fields": {
      "run": 57,
      "metric": "groundedness",
      "noise": "-1.2",
      "score": "64.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 627,
    "fields": {
      "run": 72,
      "metric": "conciseness",
      "noise": "0.2",
      "score": "59.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 628,
    "fields": {
      "run": 69,
      "metric": "conciseness",
      "noise": "0.2",
      "score": "57.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 629,
    "fields": {
      "run": 3,
      "metric": "groundedness",
      "noise": "1.0",
      "score": "56.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 630,
    "fields": {
      "run": 2,
      "metric": "groundedness",
      "noise": "0.1",
      "score": "66.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 631,
    "fields": {
      "run": 78,
      "metric": "conciseness",
      "noise": "1.4",
      "score": "62.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 632,
    "fields": {
      "run": 56,
      "metric": "conciseness",
      "noise": "0.4",
      "score": "54.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 633,
    "fields": {
      "run": 185,
      "metric": "conciseness",
      "noise": "0.4",
      "score": "55.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 634,
    "fields": {
      "run": 177,
      "metric": "groundedness",
      "noise": "-2.5",
      "score": "61.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 635,
    "fields": {
      "run": 86,
      "metric": "groundedness",
      "noise": "0.8",
      "score": "48.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 636,
    "fields": {
      "run": 32,
      "metric": "conciseness",
      "noise": "0.3",
      "score": "62.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 637,
    "fields": {
      "run": 140,
      "metric": "groundedness",
      "noise": "-0.2",
      "score": "57.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 638,
    "fields": {
      "run": 119,
      "metric": "conciseness",
      "noise": "-1.1",
      "score": "61.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 639,
    "fields": {
      "run": 163,
      "metric": "conciseness",
      "noise": "-0.9",
      "score": "56.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 640,
    "fields": {
      "run": 74,
      "metric": "groundedness",
      "noise": "0.1",
      "score": "54.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 641,
    "fields": {
      "run": 23,
      "metric": "conciseness",
      "noise": "-1.2",
      "score": "59.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 642,
    "fields": {
      "run": 19,
      "metric": "groundedness",
      "noise": "-1.3",
      "score": "58.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 643,
    "fields": {
      "run": 194,
      "metric": "conciseness",
      "noise": "-0.7",
      "score": "55.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 644,
    "fields": {
      "run": 117,
      "metric": "groundedness",
      "noise": "-3.8",
      "score": "53.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 645,
    "fields": {
      "run": 153,
      "metric": "groundedness",
      "noise": "0.7",
      "score": "50.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 646,
    "fields": {
      "run": 36,
      "metric": "conciseness",
      "noise": "0.7",
      "score": "57.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 647,
    "fields": {
      "run": 22,
      "metric": "groundedness",
      "noise": "-2.3",
      "score": "53.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 648,
    "fields": {
      "run": 40,
      "metric": "conciseness",
      "noise": "2.2",
      "score": "52.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 649,
    "fields": {
      "run": 61,
      "metric": "conciseness",
      "noise": "-2.1",
      "score": "63.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 650,
    "fields": {
      "run": 106,
      "metric": "groundedness",
      "noise": "-1.0",
      "score": "48.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 651,
    "fields": {
      "run": 47,
      "metric": "format validity",
      "noise": "-0.2",
      "score": "48.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 652,
    "fields": {
      "run": 85,
      "metric": "conciseness",
      "noise": "-2.5",
      "score": "56.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 653,
    "fields": {
      "run": 130,
      "metric": "groundedness",
      "noise": "0.8",
      "score": "54.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 654,
    "fields": {
      "run": 118,
      "metric": "conciseness",
      "noise": "-2.7",
      "score": "51.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 655,
    "fields": {
      "run": 7,
      "metric": "conciseness",
      "noise": "-0.5",
      "score": "60.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 656,
    "fields": {
      "run": 181,
      "metric": "groundedness",
      "noise": "0.8",
      "score": "51.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 657,
    "fields": {
      "run": 47,
      "metric": "groundedness",
      "noise": "-3.0",
      "score": "45.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 658,
    "fields": {
      "run": 177,
      "metric": "conciseness",
      "noise": "0.1",
      "score": "64.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 659,
    "fields": {
      "run": 143,
      "metric": "groundedness",
      "noise": "-0.2",
      "score": "65.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 660,
    "fields": {
      "run": 192,
      "metric": "groundedness",
      "noise": "0.9",
      "score": "64.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 661,
    "fields": {
      "run": 145,
      "metric": "groundedness",
      "noise": "-3.9",
      "score": "55.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 662,
    "fields": {
      "run": 145,
      "metric": "conciseness",
      "noise": "-1.8",
      "score": "57.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 663,
    "fields": {
      "run": 181,
      "metric": "conciseness",
      "noise": "0.5",
      "score": "51.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 664,
    "fields": {
      "run": 117,
      "metric": "conciseness",
      "noise": "2.0",
      "score": "59.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 665,
    "fields": {
      "run": 86,
      "metric": "conciseness",
      "noise": "1.4",
      "score": "48.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 666,
    "fields": {
      "run": 108,
      "metric": "conciseness",
      "noise": "-0.6",
      "score": "58.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 667,
    "fields": {
      "run": 113,
      "metric": "conciseness",
      "noise": "2.9",
      "score": "66.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 668,
    "fields": {
      "run": 174,
      "metric": "conciseness",
      "noise": "0.1",
      "score": "57.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 669,
    "fields": {
      "run": 171,
      "metric": "groundedness",
      "noise": "1.4",
      "score": "55.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 670,
    "fields": {
      "run": 120,
      "metric": "groundedness",
      "noise": "-2.9",
      "score": "59.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 671,
    "fields": {
      "run": 42,
      "metric": "groundedness",
      "noise": "1.5",
      "score": "57.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 672,
    "fields": {
      "run": 93,
      "metric": "conciseness",
      "noise": "2.0",
      "score": "60.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 673,
    "fields": {
      "run": 138,
      "metric": "conciseness",
      "noise": "-0.2",
      "score": "55.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 674,
    "fields": {
      "run": 66,
      "metric": "groundedness",
      "noise": "0.7",
      "score": "67.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 675,
    "fields": {
      "run": 195,
      "metric": "groundedness",
      "noise": "0.5",
      "score": "54.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 676,
    "fields": {
      "run": 9,
      "metric": "groundedness",
      "noise": "-0.8",
      "score": "52.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 677,
    "fields": {
      "run": 120,
      "metric": "conciseness",
      "noise": "-0.7",
      "score": "61.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 678,
    "fields": {
      "run": 57,
      "metric": "conciseness",
      "noise": "1.7",
      "score": "67.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 679,
    "fields": {
      "run": 33,
      "metric": "groundedness",
      "noise": "-2.5",
      "score": "64.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 680,
    "fields": {
      "run": 33,
      "metric": "conciseness",
      "noise": "1.9",
      "score": "69.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 681,
    "fields": {
      "run": 22,
      "metric": "conciseness",
      "noise": "0.7",
      "score": "56.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 682,
    "fields": {
      "run": 109,
      "metric": "conciseness",
      "noise": "-2.1",
      "score": "47.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 683,
    "fields": {
      "run": 149,
      "metric": "groundedness",
      "noise": "-0.4",
      "score": "54.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 684,
    "fields": {
      "run": 2,
      "metric": "conciseness",
      "noise": "-1.8",
      "score": "64.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 685,
    "fields": {
      "run": 47,
      "metric": "conciseness",
      "noise": "-1.8",
      "score": "46.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 686,
    "fields": {
      "run": 153,
      "metric": "conciseness",
      "noise": "-2.2",
      "score": "47.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 687,
    "fields": {
      "run": 133,
      "metric": "groundedness",
      "noise": "2.8",
      "score": "58.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 688,
    "fields": {
      "run": 24,
      "metric": "conciseness",
      "noise": "1.1",
      "score": "64.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 689,
    "fields": {
      "run": 146,
      "metric": "groundedness",
      "noise": "2.5",
      "score": "52.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 690,
    "fields": {
      "run": 98,
      "metric": "groundedness",
      "noise": "-0.6",
      "score": "51.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 691,
    "fields": {
      "run": 25,
      "metric": "groundedness",
      "noise": "-3.1",
      "score": "56.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 692,
    "fields": {
      "run": 133,
      "metric": "conciseness",
      "noise": "-2.1",
      "score": "53.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 693,
    "fields": {
      "run": 144,
      "metric": "conciseness",
      "noise": "2.2",
      "score": "51.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 694,
    "fields": {
      "run": 186,
      "metric": "conciseness",
      "noise": "1.6",
      "score": "65.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 695,
    "fields": {
      "run": 41,
      "metric": "groundedness",
      "noise": "1.3",
      "score": "50.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 696,
    "fields": {
      "run": 45,
      "metric": "groundedness",
      "noise": "1.4",
      "score": "59.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 697,
    "fields": {
      "run": 88,
      "metric": "conciseness",
      "noise": "3.5",
      "score": "64.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 698,
    "fields": {
      "run": 50,
      "metric": "conciseness",
      "noise": "0.1",
      "score": "62.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 699,
    "fields": {
      "run": 131,
      "metric": "groundedness",
      "noise": "4.1",
      "score": "67.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 700,
    "fields": {
      "run": 41,
      "metric": "conciseness",
      "noise": "4.1",
      "score": "53.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 701,
    "fields": {
      "run": 43,
      "metric": "conciseness",
      "noise": "-1.4",
      "score": "65.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 702,
    "fields": {
      "run": 3,
      "metric": "conciseness",
      "noise": "0.7",
      "score": "56.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 703,
    "fields": {
      "run": 25,
      "metric": "conciseness",
      "noise": "0.2",
      "score": "60.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 704,
    "fields": {
      "run": 94,
      "metric": "conciseness",
      "noise": "-0.3",
      "score": "55.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 705,
    "fields": {
      "run": 9,
      "metric": "conciseness",
      "noise": "-2.1",
      "score": "51.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 706,
    "fields": {
      "run": 104,
      "metric": "conciseness",
      "noise": "2.5",
      "score": "55.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 707,
    "fields": {
      "run": 128,
      "metric": "conciseness",
      "noise": "-2.5",
      "score": "45.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 708,
    "fields": {
      "run": 105,
      "metric": "conciseness",
      "noise": "-3.4",
      "score": "52.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 709,
    "fields": {
      "run": 140,
      "metric": "conciseness",
      "noise": "-2.7",
      "score": "54.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 710,
    "fields": {
      "run": 196,
      "metric": "groundedness",
      "noise": "0.9",
      "score": "56.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 711,
    "fields": {
      "run": 11,
      "metric": "groundedness",
      "noise": "1.6",
      "score": "70.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 712,
    "fields": {
      "run": 82,
      "metric": "groundedness",
      "noise": "-1.7",
      "score": "58.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 713,
    "fields": {
      "run": 190,
      "metric": "conciseness",
      "noise": "-0.2",
      "score": "58.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 714,
    "fields": {
      "run": 184,
      "metric": "conciseness",
      "noise": "1.7",
      "score": "65.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 715,
    "fields": {
      "run": 178,
      "metric": "conciseness",
      "noise": "2.9",
      "score": "55.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 716,
    "fields": {
      "run": 148,
      "metric": "conciseness",
      "noise": "0.1",
      "score": "59.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 717,
    "fields": {
      "run": 51,
      "metric": "conciseness",
      "noise": "0.9",
      "score": "72.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 718,
    "fields": {
      "run": 132,
      "metric": "conciseness",
      "noise": "2.5",
      "score": "69.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 719,
    "fields": {
      "run": 42,
      "metric": "conciseness",
      "noise": "1.2",
      "score": "56.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 720,
    "fields": {
      "run": 171,
      "metric": "conciseness",
      "noise": "-0.1",
      "score": "54.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 721,
    "fields": {
      "run": 8,
      "metric": "conciseness",
      "noise": "-0.6",
      "score": "58.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 722,
    "fields": {
      "run": 149,
      "metric": "conciseness",
      "noise": "0.7",
      "score": "55.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 723,
    "fields": {
      "run": 54,
      "metric": "conciseness",
      "noise": "0.8",
      "score": "56.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 724,
    "fields": {
      "run": 195,
      "metric": "conciseness",
      "noise": "1.6",
      "score": "55.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 725,
    "fields": {
      "run": 62,
      "metric": "groundedness",
      "noise": "5.3",
      "score": "64.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 726,
    "fields": {
      "run": 180,
      "metric": "groundedness",
      "noise": "-0.8",
      "score": "62.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 727,
    "fields": {
      "run": 1,
      "metric": "conciseness",
      "noise": "-0.5",
      "score": "55.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 728,
    "fields": {
      "run": 76,
      "metric": "conciseness",
      "noise": "4.2",
      "score": "61.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 729,
    "fields": {
      "run": 99,
      "metric": "groundedness",
      "noise": "1.5",
      "score": "62.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 730,
    "fields": {
      "run": 121,
      "metric": "groundedness",
      "noise": "4.2",
      "score": "53.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 731,
    "fields": {
      "run": 164,
      "metric": "groundedness",
      "noise": "-3.0",
      "score": "59.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 732,
    "fields": {
      "run": 62,
      "metric": "conciseness",
      "noise": "-2.8",
      "score": "56.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 733,
    "fields": {
      "run": 130,
      "metric": "conciseness",
      "noise": "2.4",
      "score": "55.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 734,
    "fields": {
      "run": 20,
      "metric": "groundedness",
      "noise": "0.8",
      "score": "61.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 735,
    "fields": {
      "run": 172,
      "metric": "conciseness",
      "noise": "-2.2",
      "score": "53.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 736,
    "fields": {
      "run": 45,
      "metric": "conciseness",
      "noise": "-0.3",
      "score": "58.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 737,
    "fields": {
      "run": 21,
      "metric": "conciseness",
      "noise": "-1.1",
      "score": "62.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 738,
    "fields": {
      "run": 189,
      "metric": "conciseness",
      "noise": "-0.8",
      "score": "53.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 739,
    "fields": {
      "run": 13,
      "metric": "conciseness",
      "noise": "2.0",
      "score": "67.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 740,
    "fields": {
      "run": 30,
      "metric": "groundedness",
      "noise": "1.9",
      "score": "59.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 741,
    "fields": {
      "run": 59,
      "metric": "conciseness",
      "noise": "1.6",
      "score": "64.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 742,
    "fields": {
      "run": 196,
      "metric": "conciseness",
      "noise": "2.5",
      "score": "57.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 743,
    "fields": {
      "run": 99,
      "metric": "conciseness",
      "noise": "0.8",
      "score": "62.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 744,
    "fields": {
      "run": 14,
      "metric": "conciseness",
      "noise": "-0.4",
      "score": "53.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 745,
    "fields": {
      "run": 83,
      "metric": "conciseness",
      "noise": "-0.3",
      "score": "57.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 746,
    "fields": {
      "run": 192,
      "metric": "conciseness",
      "noise": "2.5",
      "score": "65.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 747,
    "fields": {
      "run": 98,
      "metric": "conciseness",
      "noise": "-1.0",
      "score": "51.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 748,
    "fields": {
      "run": 131,
      "metric": "conciseness",
      "noise": "-1.3",
      "score": "62.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 749,
    "fields": {
      "run": 20,
      "metric": "conciseness",
      "noise": "1.6",
      "score": "62.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 750,
    "fields": {
      "run": 73,
      "metric": "groundedness",
      "noise": "-1.7",
      "score": "58.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 751,
    "fields": {
      "run": 58,
      "metric": "conciseness",
      "noise": "-2.2",
      "score": "55.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 752,
    "fields": {
      "run": 197,
      "metric": "groundedness",
      "noise": "-0.7",
      "score": "56.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 753,
    "fields": {
      "run": 67,
      "metric": "conciseness",
      "noise": "1.2",
      "score": "58.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 754,
    "fields": {
      "run": 92,
      "metric": "conciseness",
      "noise": "-0.5",
      "score": "61.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 755,
    "fields": {
      "run": 180,
      "metric": "conciseness",
      "noise": "0.2",
      "score": "63.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 756,
    "fields": {
      "run": 106,
      "metric": "conciseness",
      "noise": "-1.0",
      "score": "48.5"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 757,
    "fields": {
      "run": 164,
      "metric": "conciseness",
      "noise": "-1.8",
      "score": "60.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 758,
    "fields": {
      "run": 97,
      "metric": "conciseness",
      "noise": "1.4",
      "score": "67.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 759,
    "fields": {
      "run": 19,
      "metric": "conciseness",
      "noise": "-2.6",
      "score": "56.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 760,
    "fields": {
      "run": 74,
      "metric": "conciseness",
      "noise": "-1.0",
      "score": "52.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 761,
    "fields": {
      "run": 122,
      "metric": "conciseness",
      "noise": "-0.3",
      "score": "62.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 762,
    "fields": {
      "run": 49,
      "metric": "conciseness",
      "noise": "0.3",
      "score": "61.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 763,
    "fields": {
      "run": 158,
      "metric": "conciseness",
      "noise": "2.3",
      "score": "64.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 764,
    "fields": {
      "run": 114,
      "metric": "conciseness",
      "noise": "-2.3",
      "score": "53.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 765,
    "fields": {
      "run": 115,
      "metric": "conciseness",
      "noise": "-0.5",
      "score": "47.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 766,
    "fields": {
      "run": 152,
      "metric": "conciseness",
      "noise": "0.0",
      "score": "57.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 767,
    "fields": {
      "run": 143,
      "metric": "conciseness",
      "noise": "2.4",
      "score": "68.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 768,
    "fields": {
      "run": 154,
      "metric": "conciseness",
      "noise": "-1.4",
      "score": "56.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 769,
    "fields": {
      "run": 193,
      "metric": "conciseness",
      "noise": "-0.4",
      "score": "58.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 770,
    "fields": {
      "run": 197,
      "metric": "conciseness",
      "noise": "-0.2",
      "score": "57.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 771,
    "fields": {
      "run": 137,
      "metric": "conciseness",
      "noise": "-1.3",
      "score": "54.1"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 772,
    "fields": {
      "run": 48,
      "metric": "conciseness",
      "noise": "1.0",
      "score": "66.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 773,
    "fields": {
      "run": 81,
      "metric": "conciseness",
      "noise": "3.2",
      "score": "68.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 774,
    "fields": {
      "run": 82,
      "metric": "conciseness",
      "noise": "-0.8",
      "score": "59.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 775,
    "fields": {
      "run": 71,
      "metric": "conciseness",
      "noise": "-0.1",
      "score": "53.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 776,
    "fields": {
      "run": 121,
      "metric": "conciseness",
      "noise": "-0.2",
      "score": "48.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 777,
    "fields": {
      "run": 30,
      "metric": "conciseness",
      "noise": "0.2",
      "score": "58.2"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 778,
    "fields": {
      "run": 5,
      "metric": "conciseness",
      "noise": "1.6",
      "score": "67.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 779,
    "fields": {
      "run": 156,
      "metric": "conciseness",
      "noise": "4.4",
      "score": "54.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 780,
    "fields": {
      "run": 46,
      "metric": "conciseness",
      "noise": "-0.9",
      "score": "53.8"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 781,
    "fields": {
      "run": 16,
      "metric": "conciseness",
      "noise": "-1.5",
      "score": "60.7"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 782,
    "fields": {
      "run": 146,
      "metric": "conciseness",
      "noise": "-2.1",
      "score": "47.4"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 783,
    "fields": {
      "run": 107,
      "metric": "conciseness",
      "noise": "0.2",
      "score": "64.9"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 784,
    "fields": {
      "run": 90,
      "metric": "conciseness",
      "noise": "-2.0",
      "score": "63.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 785,
    "fields": {
      "run": 11,
      "metric": "conciseness",
      "noise": "4.8",
      "score": "73.3"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 786,
    "fields": {
      "run": 127,
      "metric": "conciseness",
      "noise": "-2.2",
      "score": "50.6"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 787,
    "fields": {
      "run": 73,
      "metric": "conciseness",
      "noise": "-1.3",
      "score": "59.0"
    }
  },
  {
    "model": "app.evalscore",
    "pk": 788,
    "fields": {
      "run": 66,
      "metric": "conciseness",
      "noise": "0.2",
      "score": "66.9"
    }
  }
]
