// Data labelling tasks, annotators and agreement (data-labelling-tasks-annotators-and-agreement) v1 — Prisma seed
// Synthetic sample data, CC0-1.0. Generated deterministically; re-running the
// generator with the same spec and seed reproduces this file exactly.
//
// Delegates are named after the tables (prisma.annotators), which assumes models
// mapped to those table names. Rename the delegates if your models differ.
import { PrismaClient } from '@prisma/client';

const prisma = new PrismaClient();

async function main() {
    await prisma.annotators.createMany({
        data: [
            { id: 1, annotator_code: "AN-494", team: "in-house", joined_on: "2024-06-24", leniency: "-0.26", carelessness: "0.93", avg_seconds: 19 },
            { id: 2, annotator_code: "AN-429", team: "vendor south", joined_on: "2025-06-27", leniency: "0.34", carelessness: "1.33", avg_seconds: 90 },
            { id: 3, annotator_code: "AN-316", team: "vendor north", joined_on: "2025-06-12", leniency: "0.58", carelessness: "0.77", avg_seconds: 77 },
            { id: 4, annotator_code: "AN-601", team: "vendor north", joined_on: "2025-02-16", leniency: "-0.16", carelessness: "0.64", avg_seconds: 38 },
            { id: 5, annotator_code: "AN-048", team: "in-house", joined_on: "2025-11-17", leniency: "0.39", carelessness: "0.77", avg_seconds: 42 },
            { id: 6, annotator_code: "AN-690", team: "vendor north", joined_on: "2025-01-24", leniency: "-0.04", carelessness: "0.81", avg_seconds: 59 },
            { id: 7, annotator_code: "AN-849", team: "vendor north", joined_on: "2025-05-05", leniency: "0.44", carelessness: "1.21", avg_seconds: 53 },
            { id: 8, annotator_code: "AN-189", team: "vendor south", joined_on: "2024-08-23", leniency: "-0.13", carelessness: "0.82", avg_seconds: 12 },
            { id: 9, annotator_code: "AN-619", team: "vendor south", joined_on: "2024-09-10", leniency: "0.16", carelessness: "0.69", avg_seconds: 12 },
            { id: 10, annotator_code: "AN-269", team: "vendor north", joined_on: "2024-06-08", leniency: "0.50", carelessness: "0.91", avg_seconds: 40 },
            { id: 11, annotator_code: "AN-356", team: "in-house", joined_on: "2024-07-15", leniency: "0.47", carelessness: "1.04", avg_seconds: 14 },
            { id: 12, annotator_code: "AN-103", team: "in-house", joined_on: "2025-12-09", leniency: "0.01", carelessness: "0.65", avg_seconds: 65 },
            { id: 13, annotator_code: "AN-869", team: "vendor north", joined_on: "2024-06-13", leniency: "-0.19", carelessness: "1.10", avg_seconds: 12 },
            { id: 14, annotator_code: "AN-840", team: "vendor south", joined_on: "2024-07-09", leniency: "0.59", carelessness: "1.27", avg_seconds: 72 },
        ],
    });
    await prisma.label_projects.createMany({
        data: [
            { id: 1, scope: "labelling programme", project_name: "reply helpfulness", question: "How helpful is the reply to the customer’s question?" },
            { id: 2, scope: "labelling programme", project_name: "image sharpness", question: "How sharp is the image, from blurred to crisp?" },
            { id: 3, scope: "labelling programme", project_name: "review toxicity", question: "How toxic is the review, from friendly to abusive?" },
        ],
    });
    await prisma.label_tasks.createMany({
        data: [
            { id: 1, project_id: 1, item_ref: "item-872791", created_at: new Date("2026-02-01T08:50:45Z"), true_score: "3.27", ambiguity: "0.52" },
            { id: 2, project_id: 2, item_ref: "item-335041", created_at: new Date("2026-02-05T15:39:22Z"), true_score: "6.37", ambiguity: "0.73" },
            { id: 3, project_id: 3, item_ref: "item-918401", created_at: new Date("2026-02-15T13:37:40Z"), true_score: "3.64", ambiguity: "0.56" },
            { id: 4, project_id: 3, item_ref: "item-617975", created_at: new Date("2026-01-16T12:08:22Z"), true_score: "4.18", ambiguity: "1.06" },
            { id: 5, project_id: 1, item_ref: "item-457303", created_at: new Date("2026-01-14T11:32:21Z"), true_score: "4.39", ambiguity: "1.05" },
            { id: 6, project_id: 1, item_ref: "item-228732", created_at: new Date("2026-01-14T07:46:17Z"), true_score: "4.68", ambiguity: "0.67" },
            { id: 7, project_id: 2, item_ref: "item-497850", created_at: new Date("2026-02-08T09:21:16Z"), true_score: "3.45", ambiguity: "1.10" },
            { id: 8, project_id: 3, item_ref: "item-890476", created_at: new Date("2026-02-13T16:42:11Z"), true_score: "3.05", ambiguity: "0.80" },
            { id: 9, project_id: 3, item_ref: "item-749151", created_at: new Date("2026-01-24T12:52:02Z"), true_score: "5.32", ambiguity: "0.78" },
            { id: 10, project_id: 1, item_ref: "item-205140", created_at: new Date("2026-01-13T12:18:23Z"), true_score: "4.37", ambiguity: "1.00" },
            { id: 11, project_id: 2, item_ref: "item-837425", created_at: new Date("2026-02-06T22:34:02Z"), true_score: "7.36", ambiguity: "0.78" },
            { id: 12, project_id: 2, item_ref: "item-582959", created_at: new Date("2026-01-29T16:25:27Z"), true_score: "3.67", ambiguity: "0.77" },
            { id: 13, project_id: 2, item_ref: "item-208851", created_at: new Date("2026-02-12T13:24:11Z"), true_score: "3.60", ambiguity: "0.83" },
            { id: 14, project_id: 3, item_ref: "item-307550", created_at: new Date("2026-02-02T17:56:36Z"), true_score: "3.44", ambiguity: "1.07" },
            { id: 15, project_id: 1, item_ref: "item-615107", created_at: new Date("2026-01-12T12:43:11Z"), true_score: "6.55", ambiguity: "0.83" },
            { id: 16, project_id: 3, item_ref: "item-291208", created_at: new Date("2026-02-19T10:23:38Z"), true_score: "6.64", ambiguity: "1.02" },
            { id: 17, project_id: 3, item_ref: "item-013544", created_at: new Date("2026-01-18T21:02:50Z"), true_score: "6.63", ambiguity: "0.62" },
            { id: 18, project_id: 1, item_ref: "item-367594", created_at: new Date("2026-01-29T14:32:05Z"), true_score: "5.37", ambiguity: "0.34" },
            { id: 19, project_id: 3, item_ref: "item-142179", created_at: new Date("2026-01-31T14:31:46Z"), true_score: "4.95", ambiguity: "0.91" },
            { id: 20, project_id: 3, item_ref: "item-512554", created_at: new Date("2026-01-25T16:25:07Z"), true_score: "5.38", ambiguity: "0.58" },
            { id: 21, project_id: 3, item_ref: "item-722005", created_at: new Date("2026-02-07T16:31:07Z"), true_score: "6.40", ambiguity: "1.20" },
            { id: 22, project_id: 2, item_ref: "item-787472", created_at: new Date("2026-02-10T17:01:55Z"), true_score: "7.23", ambiguity: "0.88" },
            { id: 23, project_id: 2, item_ref: "item-940702", created_at: new Date("2026-02-07T19:11:29Z"), true_score: "5.67", ambiguity: "0.64" },
            { id: 24, project_id: 1, item_ref: "item-252952", created_at: new Date("2026-01-26T16:22:56Z"), true_score: "3.15", ambiguity: "1.09" },
            { id: 25, project_id: 1, item_ref: "item-869888", created_at: new Date("2026-02-05T10:06:51Z"), true_score: "4.65", ambiguity: "0.33" },
            { id: 26, project_id: 1, item_ref: "item-576985", created_at: new Date("2026-01-18T19:28:30Z"), true_score: "4.61", ambiguity: "0.57" },
            { id: 27, project_id: 2, item_ref: "item-325123", created_at: new Date("2026-01-14T19:43:14Z"), true_score: "4.65", ambiguity: "0.53" },
            { id: 28, project_id: 3, item_ref: "item-822774", created_at: new Date("2026-02-20T11:24:42Z"), true_score: "6.03", ambiguity: "0.75" },
            { id: 29, project_id: 3, item_ref: "item-606270", created_at: new Date("2026-02-20T17:24:02Z"), true_score: "7.85", ambiguity: "0.36" },
            { id: 30, project_id: 1, item_ref: "item-182201", created_at: new Date("2026-02-10T05:49:34Z"), true_score: "5.81", ambiguity: "0.83" },
            { id: 31, project_id: 2, item_ref: "item-819300", created_at: new Date("2026-01-23T10:54:29Z"), true_score: "4.99", ambiguity: "0.60" },
            { id: 32, project_id: 1, item_ref: "item-752678", created_at: new Date("2026-01-23T16:48:37Z"), true_score: "7.33", ambiguity: "0.62" },
            { id: 33, project_id: 3, item_ref: "item-350515", created_at: new Date("2026-01-18T15:24:26Z"), true_score: "4.41", ambiguity: "0.76" },
            { id: 34, project_id: 1, item_ref: "item-567862", created_at: new Date("2026-01-28T16:09:45Z"), true_score: "5.94", ambiguity: "0.47" },
            { id: 35, project_id: 1, item_ref: "item-030298", created_at: new Date("2026-02-16T17:24:32Z"), true_score: "5.88", ambiguity: "0.76" },
            { id: 36, project_id: 3, item_ref: "item-440601", created_at: new Date("2026-01-20T15:54:45Z"), true_score: "2.97", ambiguity: "0.83" },
            { id: 37, project_id: 2, item_ref: "item-655743", created_at: new Date("2026-02-01T10:51:17Z"), true_score: "3.58", ambiguity: "0.43" },
            { id: 38, project_id: 2, item_ref: "item-460785", created_at: new Date("2026-01-19T10:06:27Z"), true_score: "5.98", ambiguity: "0.77" },
            { id: 39, project_id: 2, item_ref: "item-470821", created_at: new Date("2026-02-08T01:31:45Z"), true_score: "5.41", ambiguity: "0.47" },
            { id: 40, project_id: 1, item_ref: "item-697766", created_at: new Date("2026-02-08T20:23:47Z"), true_score: "5.57", ambiguity: "1.14" },
            { id: 41, project_id: 1, item_ref: "item-212151", created_at: new Date("2026-01-27T12:22:58Z"), true_score: "6.36", ambiguity: "0.67" },
            { id: 42, project_id: 2, item_ref: "item-482417", created_at: new Date("2026-02-09T11:04:30Z"), true_score: "3.16", ambiguity: "0.81" },
            { id: 43, project_id: 2, item_ref: "item-921822", created_at: new Date("2026-02-08T09:40:05Z"), true_score: "6.12", ambiguity: "0.95" },
            { id: 44, project_id: 2, item_ref: "item-237777", created_at: new Date("2026-01-15T12:06:02Z"), true_score: "3.68", ambiguity: "0.92" },
            { id: 45, project_id: 1, item_ref: "item-914679", created_at: new Date("2026-01-12T19:06:37Z"), true_score: "6.77", ambiguity: "0.50" },
            { id: 46, project_id: 1, item_ref: "item-447139", created_at: new Date("2026-02-01T10:56:03Z"), true_score: "7.55", ambiguity: "0.93" },
            { id: 47, project_id: 2, item_ref: "item-751453", created_at: new Date("2026-02-04T13:47:21Z"), true_score: "4.54", ambiguity: "1.00" },
            { id: 48, project_id: 2, item_ref: "item-133493", created_at: new Date("2026-01-26T10:59:42Z"), true_score: "3.91", ambiguity: "0.47" },
            { id: 49, project_id: 3, item_ref: "item-961740", created_at: new Date("2026-02-02T08:53:55Z"), true_score: "7.20", ambiguity: "0.45" },
            { id: 50, project_id: 2, item_ref: "item-857689", created_at: new Date("2026-02-07T13:11:03Z"), true_score: "3.45", ambiguity: "0.64" },
            { id: 51, project_id: 1, item_ref: "item-315462", created_at: new Date("2026-01-14T12:23:47Z"), true_score: "6.93", ambiguity: "1.18" },
            { id: 52, project_id: 2, item_ref: "item-744234", created_at: new Date("2026-01-18T05:23:21Z"), true_score: "5.95", ambiguity: "1.11" },
            { id: 53, project_id: 3, item_ref: "item-733361", created_at: new Date("2026-02-20T13:49:07Z"), true_score: "6.15", ambiguity: "1.18" },
            { id: 54, project_id: 2, item_ref: "item-025026", created_at: new Date("2026-02-12T14:03:31Z"), true_score: "7.47", ambiguity: "0.55" },
            { id: 55, project_id: 2, item_ref: "item-276627", created_at: new Date("2026-01-27T14:34:39Z"), true_score: "6.64", ambiguity: "0.51" },
            { id: 56, project_id: 1, item_ref: "item-217201", created_at: new Date("2026-01-28T20:37:07Z"), true_score: "6.99", ambiguity: "0.81" },
            { id: 57, project_id: 1, item_ref: "item-135823", created_at: new Date("2026-02-09T09:58:14Z"), true_score: "4.74", ambiguity: "1.06" },
            { id: 58, project_id: 3, item_ref: "item-388379", created_at: new Date("2026-01-28T18:42:14Z"), true_score: "6.97", ambiguity: "0.71" },
            { id: 59, project_id: 3, item_ref: "item-475224", created_at: new Date("2026-01-18T13:03:26Z"), true_score: "5.77", ambiguity: "0.93" },
            { id: 60, project_id: 2, item_ref: "item-380820", created_at: new Date("2026-02-14T18:41:56Z"), true_score: "4.77", ambiguity: "0.99" },
            { id: 61, project_id: 1, item_ref: "item-786670", created_at: new Date("2026-02-20T15:28:25Z"), true_score: "2.88", ambiguity: "0.34" },
            { id: 62, project_id: 1, item_ref: "item-070557", created_at: new Date("2026-02-18T16:21:48Z"), true_score: "5.67", ambiguity: "0.61" },
            { id: 63, project_id: 1, item_ref: "item-387712", created_at: new Date("2026-02-13T13:54:21Z"), true_score: "5.46", ambiguity: "1.06" },
            { id: 64, project_id: 3, item_ref: "item-760428", created_at: new Date("2026-01-23T10:25:24Z"), true_score: "3.08", ambiguity: "0.42" },
            { id: 65, project_id: 3, item_ref: "item-116285", created_at: new Date("2026-01-25T16:56:52Z"), true_score: "4.76", ambiguity: "0.89" },
            { id: 66, project_id: 3, item_ref: "item-438553", created_at: new Date("2026-01-14T12:00:26Z"), true_score: "6.46", ambiguity: "0.71" },
            { id: 67, project_id: 3, item_ref: "item-213148", created_at: new Date("2026-02-17T09:01:48Z"), true_score: "7.53", ambiguity: "0.45" },
            { id: 68, project_id: 2, item_ref: "item-418455", created_at: new Date("2026-01-26T14:41:42Z"), true_score: "3.96", ambiguity: "0.97" },
            { id: 69, project_id: 2, item_ref: "item-093522", created_at: new Date("2026-02-13T17:46:15Z"), true_score: "5.72", ambiguity: "0.36" },
            { id: 70, project_id: 2, item_ref: "item-012355", created_at: new Date("2026-01-12T08:07:04Z"), true_score: "6.91", ambiguity: "0.46" },
            { id: 71, project_id: 1, item_ref: "item-290263", created_at: new Date("2026-02-08T11:57:09Z"), true_score: "6.88", ambiguity: "1.16" },
            { id: 72, project_id: 2, item_ref: "item-988346", created_at: new Date("2026-02-14T09:53:16Z"), true_score: "5.57", ambiguity: "0.71" },
            { id: 73, project_id: 3, item_ref: "item-259981", created_at: new Date("2026-02-19T09:21:31Z"), true_score: "4.85", ambiguity: "0.83" },
            { id: 74, project_id: 2, item_ref: "item-120159", created_at: new Date("2026-02-06T12:49:19Z"), true_score: "3.49", ambiguity: "1.03" },
            { id: 75, project_id: 3, item_ref: "item-388987", created_at: new Date("2026-02-05T16:18:12Z"), true_score: "5.46", ambiguity: "0.35" },
            { id: 76, project_id: 3, item_ref: "item-948594", created_at: new Date("2026-02-05T14:28:17Z"), true_score: "5.29", ambiguity: "0.98" },
            { id: 77, project_id: 1, item_ref: "item-428397", created_at: new Date("2026-01-15T15:42:08Z"), true_score: "4.43", ambiguity: "0.63" },
            { id: 78, project_id: 2, item_ref: "item-202548", created_at: new Date("2026-01-12T18:29:43Z"), true_score: "3.81", ambiguity: "0.48" },
            { id: 79, project_id: 1, item_ref: "item-016578", created_at: new Date("2026-02-07T07:20:08Z"), true_score: "7.59", ambiguity: "0.48" },
            { id: 80, project_id: 3, item_ref: "item-019864", created_at: new Date("2026-02-16T09:04:39Z"), true_score: "3.86", ambiguity: "1.12" },
            { id: 81, project_id: 1, item_ref: "item-846472", created_at: new Date("2026-02-08T14:42:46Z"), true_score: "5.58", ambiguity: "1.07" },
            { id: 82, project_id: 3, item_ref: "item-514284", created_at: new Date("2026-01-25T14:18:12Z"), true_score: "5.67", ambiguity: "0.45" },
            { id: 83, project_id: 2, item_ref: "item-459579", created_at: new Date("2026-01-19T12:22:01Z"), true_score: "4.18", ambiguity: "1.12" },
            { id: 84, project_id: 2, item_ref: "item-617258", created_at: new Date("2026-01-21T16:44:18Z"), true_score: "5.07", ambiguity: "0.83" },
            { id: 85, project_id: 2, item_ref: "item-556709", created_at: new Date("2026-01-20T12:28:43Z"), true_score: "7.35", ambiguity: "1.00" },
            { id: 86, project_id: 1, item_ref: "item-492094", created_at: new Date("2026-01-23T12:13:45Z"), true_score: "5.32", ambiguity: "0.71" },
            { id: 87, project_id: 1, item_ref: "item-351251", created_at: new Date("2026-01-25T16:31:51Z"), true_score: "3.83", ambiguity: "0.46" },
            { id: 88, project_id: 2, item_ref: "item-564551", created_at: new Date("2026-01-14T07:40:37Z"), true_score: "6.50", ambiguity: "0.42" },
            { id: 89, project_id: 2, item_ref: "item-091841", created_at: new Date("2026-01-16T02:05:40Z"), true_score: "7.63", ambiguity: "0.98" },
            { id: 90, project_id: 3, item_ref: "item-451679", created_at: new Date("2026-02-09T10:20:38Z"), true_score: "6.44", ambiguity: "0.97" },
            { id: 91, project_id: 1, item_ref: "item-104209", created_at: new Date("2026-02-03T11:35:58Z"), true_score: "5.21", ambiguity: "0.42" },
            { id: 92, project_id: 3, item_ref: "item-422071", created_at: new Date("2026-01-19T10:19:31Z"), true_score: "7.76", ambiguity: "0.49" },
            { id: 93, project_id: 2, item_ref: "item-117228", created_at: new Date("2026-01-30T14:51:57Z"), true_score: "5.35", ambiguity: "0.78" },
            { id: 94, project_id: 3, item_ref: "item-617806", created_at: new Date("2026-01-18T16:36:58Z"), true_score: "5.76", ambiguity: "0.49" },
            { id: 95, project_id: 3, item_ref: "item-837657", created_at: new Date("2026-01-23T14:49:08Z"), true_score: "6.55", ambiguity: "1.09" },
            { id: 96, project_id: 1, item_ref: "item-785302", created_at: new Date("2026-02-19T09:04:16Z"), true_score: "5.04", ambiguity: "0.93" },
            { id: 97, project_id: 3, item_ref: "item-922421", created_at: new Date("2026-02-15T14:05:58Z"), true_score: "2.88", ambiguity: "1.20" },
            { id: 98, project_id: 1, item_ref: "item-056391", created_at: new Date("2026-02-17T09:22:59Z"), true_score: "5.57", ambiguity: "0.99" },
            { id: 99, project_id: 3, item_ref: "item-518044", created_at: new Date("2026-01-14T08:12:57Z"), true_score: "4.46", ambiguity: "0.51" },
            { id: 100, project_id: 2, item_ref: "item-517167", created_at: new Date("2026-02-15T12:02:27Z"), true_score: "4.77", ambiguity: "0.49" },
            { id: 101, project_id: 1, item_ref: "item-527012", created_at: new Date("2026-02-13T15:02:59Z"), true_score: "3.73", ambiguity: "1.08" },
            { id: 102, project_id: 1, item_ref: "item-620310", created_at: new Date("2026-02-09T11:08:42Z"), true_score: "7.65", ambiguity: "0.49" },
            { id: 103, project_id: 3, item_ref: "item-677315", created_at: new Date("2026-02-08T09:29:21Z"), true_score: "3.99", ambiguity: "0.38" },
            { id: 104, project_id: 3, item_ref: "item-327679", created_at: new Date("2026-01-18T13:38:11Z"), true_score: "5.18", ambiguity: "0.40" },
            { id: 105, project_id: 1, item_ref: "item-082638", created_at: new Date("2026-01-20T09:23:52Z"), true_score: "6.54", ambiguity: "0.98" },
            { id: 106, project_id: 2, item_ref: "item-450439", created_at: new Date("2026-01-21T10:14:16Z"), true_score: "6.64", ambiguity: "0.40" },
            { id: 107, project_id: 2, item_ref: "item-097377", created_at: new Date("2026-01-26T12:41:54Z"), true_score: "3.72", ambiguity: "0.95" },
            { id: 108, project_id: 1, item_ref: "item-366528", created_at: new Date("2026-01-30T16:55:01Z"), true_score: "6.80", ambiguity: "1.15" },
            { id: 109, project_id: 3, item_ref: "item-056545", created_at: new Date("2026-02-04T14:27:17Z"), true_score: "2.94", ambiguity: "0.45" },
            { id: 110, project_id: 1, item_ref: "item-717249", created_at: new Date("2026-02-19T16:21:21Z"), true_score: "5.21", ambiguity: "0.50" },
            { id: 111, project_id: 3, item_ref: "item-300138", created_at: new Date("2026-02-04T10:03:07Z"), true_score: "6.16", ambiguity: "1.19" },
            { id: 112, project_id: 3, item_ref: "item-824524", created_at: new Date("2026-01-20T16:31:15Z"), true_score: "5.63", ambiguity: "0.76" },
            { id: 113, project_id: 1, item_ref: "item-473084", created_at: new Date("2026-02-19T13:32:34Z"), true_score: "3.58", ambiguity: "1.12" },
            { id: 114, project_id: 2, item_ref: "item-554671", created_at: new Date("2026-02-11T14:03:08Z"), true_score: "5.60", ambiguity: "0.35" },
            { id: 115, project_id: 3, item_ref: "item-201756", created_at: new Date("2026-02-08T17:04:44Z"), true_score: "2.97", ambiguity: "0.87" },
            { id: 116, project_id: 3, item_ref: "item-490142", created_at: new Date("2026-01-18T14:17:49Z"), true_score: "4.68", ambiguity: "0.57" },
            { id: 117, project_id: 2, item_ref: "item-989694", created_at: new Date("2026-02-06T10:04:47Z"), true_score: "4.55", ambiguity: "0.31" },
            { id: 118, project_id: 1, item_ref: "item-885422", created_at: new Date("2026-02-20T08:33:43Z"), true_score: "7.33", ambiguity: "0.30" },
            { id: 119, project_id: 3, item_ref: "item-031310", created_at: new Date("2026-01-25T15:33:21Z"), true_score: "6.35", ambiguity: "0.61" },
            { id: 120, project_id: 2, item_ref: "item-693169", created_at: new Date("2026-02-10T15:31:36Z"), true_score: "7.26", ambiguity: "1.05" },
        ],
    });
    await prisma.labels.createMany({
        data: [
            { task_id: 85, annotator_id: 9, expected_score: "7.51", spread: "0.690", unit_noise: "-0.29", noise_term: "-0.200", label: "7", seconds_spent: "20", effort_noise: "1.69", submitted_at: new Date("2026-02-03T14:45:40Z") },
            { task_id: 82, annotator_id: 9, expected_score: "5.83", spread: "0.311", unit_noise: "0.60", noise_term: "0.187", label: "6", seconds_spent: "13", effort_noise: "1.08", submitted_at: new Date("2026-02-06T07:51:39Z") },
            { task_id: 10, annotator_id: 7, expected_score: "4.81", spread: "1.210", unit_noise: "-0.27", noise_term: "-0.327", label: "4", seconds_spent: "35", effort_noise: "0.66", submitted_at: new Date("2026-01-17T13:06:43Z") },
            { task_id: 105, annotator_id: 12, expected_score: "6.55", spread: "0.637", unit_noise: "0.42", noise_term: "0.268", label: "7", seconds_spent: "79", effort_noise: "1.21", submitted_at: new Date("2026-01-24T09:04:35Z") },
            { task_id: 49, annotator_id: 13, expected_score: "7.01", spread: "0.495", unit_noise: "0.24", noise_term: "0.119", label: "7", seconds_spent: "15", effort_noise: "1.22", submitted_at: new Date("2026-02-13T14:20:45Z") },
            { task_id: 47, annotator_id: 7, expected_score: "4.98", spread: "1.210", unit_noise: "0.27", noise_term: "0.327", label: "5", seconds_spent: "95", effort_noise: "1.79", submitted_at: new Date("2026-02-06T12:24:49Z") },
            { task_id: 80, annotator_id: 3, expected_score: "4.44", spread: "0.862", unit_noise: "-0.53", noise_term: "-0.457", label: "4", seconds_spent: "40", effort_noise: "0.52", submitted_at: new Date("2026-02-26T08:46:33Z") },
            { task_id: 95, annotator_id: 10, expected_score: "7.05", spread: "0.992", unit_noise: "-0.47", noise_term: "-0.466", label: "7", seconds_spent: "68", effort_noise: "1.71", submitted_at: new Date("2026-02-03T16:48:44Z") },
            { task_id: 18, annotator_id: 2, expected_score: "5.71", spread: "0.452", unit_noise: "0.19", noise_term: "0.086", label: "6", seconds_spent: "128", effort_noise: "1.42", submitted_at: new Date("2026-02-02T07:09:47Z") },
            { task_id: 107, annotator_id: 8, expected_score: "3.59", spread: "0.779", unit_noise: "0.25", noise_term: "0.195", label: "4", seconds_spent: "21", effort_noise: "1.76", submitted_at: new Date("2026-01-31T10:22:50Z") },
            { task_id: 119, annotator_id: 7, expected_score: "6.79", spread: "0.738", unit_noise: "0.14", noise_term: "0.103", label: "7", seconds_spent: "93", effort_noise: "1.76", submitted_at: new Date("2026-01-29T11:11:28Z") },
            { task_id: 33, annotator_id: 13, expected_score: "4.22", spread: "0.836", unit_noise: "-0.85", noise_term: "-0.711", label: "4", seconds_spent: "20", effort_noise: "1.66", submitted_at: new Date("2026-02-01T08:53:23Z") },
            { task_id: 51, annotator_id: 5, expected_score: "7.32", spread: "0.909", unit_noise: "0.78", noise_term: "0.709", label: "8", seconds_spent: "26", effort_noise: "0.63", submitted_at: new Date("2026-01-18T08:12:05Z") },
            { task_id: 113, annotator_id: 9, expected_score: "3.74", spread: "0.773", unit_noise: "0.63", noise_term: "0.487", label: "4", seconds_spent: "9", effort_noise: "0.73", submitted_at: new Date("2026-02-26T09:28:20Z") },
            { task_id: 76, annotator_id: 12, expected_score: "5.30", spread: "0.637", unit_noise: "0.48", noise_term: "0.306", label: "6", seconds_spent: "34", effort_noise: "0.52", submitted_at: new Date("2026-02-12T12:58:03Z") },
            { task_id: 86, annotator_id: 12, expected_score: "5.33", spread: "0.461", unit_noise: "0.59", noise_term: "0.272", label: "6", seconds_spent: "33", effort_noise: "0.51", submitted_at: new Date("2026-01-27T13:53:26Z") },
            { task_id: 88, annotator_id: 14, expected_score: "7.09", spread: "0.533", unit_noise: "0.56", noise_term: "0.298", label: "7", seconds_spent: "37", effort_noise: "0.52", submitted_at: new Date("2026-01-16T17:10:35Z") },
            { task_id: 114, annotator_id: 4, expected_score: "5.44", spread: "0.224", unit_noise: "0.74", noise_term: "0.166", label: "6", seconds_spent: "67", effort_noise: "1.75", submitted_at: new Date("2026-02-24T11:24:33Z") },
            { task_id: 25, annotator_id: 9, expected_score: "4.81", spread: "0.228", unit_noise: "-0.52", noise_term: "-0.119", label: "5", seconds_spent: "8", effort_noise: "0.68", submitted_at: new Date("2026-02-13T15:16:06Z") },
            { task_id: 74, annotator_id: 6, expected_score: "3.45", spread: "0.834", unit_noise: "-0.23", noise_term: "-0.192", label: "3", seconds_spent: "60", effort_noise: "1.01", submitted_at: new Date("2026-02-11T13:11:55Z") },
            { task_id: 79, annotator_id: 1, expected_score: "7.33", spread: "0.446", unit_noise: "0.84", noise_term: "0.375", label: "8", seconds_spent: "11", effort_noise: "0.60", submitted_at: new Date("2026-02-09T08:01:46Z") },
            { task_id: 22, annotator_id: 6, expected_score: "7.19", spread: "0.713", unit_noise: "0.80", noise_term: "0.570", label: "8", seconds_spent: "36", effort_noise: "0.61", submitted_at: new Date("2026-02-13T13:40:24Z") },
            { task_id: 45, annotator_id: 14, expected_score: "7.36", spread: "0.635", unit_noise: "-0.37", noise_term: "-0.235", label: "7", seconds_spent: "113", effort_noise: "1.57", submitted_at: new Date("2026-01-20T11:49:37Z") },
            { task_id: 99, annotator_id: 14, expected_score: "5.05", spread: "0.648", unit_noise: "0.09", noise_term: "0.058", label: "5", seconds_spent: "119", effort_noise: "1.65", submitted_at: new Date("2026-01-18T09:03:30Z") },
            { task_id: 79, annotator_id: 9, expected_score: "7.75", spread: "0.331", unit_noise: "0.63", noise_term: "0.209", label: "8", seconds_spent: "6", effort_noise: "0.50", submitted_at: new Date("2026-02-13T08:32:29Z") },
            { task_id: 27, annotator_id: 6, expected_score: "4.61", spread: "0.429", unit_noise: "-0.94", noise_term: "-0.403", label: "4", seconds_spent: "56", effort_noise: "0.95", submitted_at: new Date("2026-01-28T04:21:24Z") },
            { task_id: 78, annotator_id: 2, expected_score: "4.15", spread: "0.638", unit_noise: "0.13", noise_term: "0.083", label: "4", seconds_spent: "48", effort_noise: "0.53", submitted_at: new Date("2026-01-18T08:23:20Z") },
            { task_id: 93, annotator_id: 5, expected_score: "5.74", spread: "0.601", unit_noise: "0.16", noise_term: "0.096", label: "6", seconds_spent: "57", effort_noise: "1.35", submitted_at: new Date("2026-02-12T11:43:22Z") },
            { task_id: 92, annotator_id: 11, expected_score: "8.23", spread: "0.510", unit_noise: "0.92", noise_term: "0.469", label: "9", seconds_spent: "14", effort_noise: "0.98", submitted_at: new Date("2026-01-25T15:59:15Z") },
            { task_id: 11, annotator_id: 2, expected_score: "7.70", spread: "1.037", unit_noise: "-0.87", noise_term: "-0.902", label: "7", seconds_spent: "56", effort_noise: "0.62", submitted_at: new Date("2026-02-13T11:54:19Z") },
            { task_id: 36, annotator_id: 4, expected_score: "2.81", spread: "0.531", unit_noise: "-0.86", noise_term: "-0.457", label: "2", seconds_spent: "21", effort_noise: "0.54", submitted_at: new Date("2026-01-26T15:48:23Z") },
            { task_id: 6, annotator_id: 10, expected_score: "5.18", spread: "0.610", unit_noise: "-0.93", noise_term: "-0.567", label: "5", seconds_spent: "30", effort_noise: "0.75", submitted_at: new Date("2026-01-15T10:35:42Z") },
            { task_id: 17, annotator_id: 4, expected_score: "6.47", spread: "0.397", unit_noise: "0.52", noise_term: "0.206", label: "7", seconds_spent: "46", effort_noise: "1.20", submitted_at: new Date("2026-01-21T17:18:47Z") },
            { task_id: 16, annotator_id: 13, expected_score: "6.45", spread: "1.122", unit_noise: "0.67", noise_term: "0.752", label: "7", seconds_spent: "7", effort_noise: "0.56", submitted_at: new Date("2026-02-20T11:00:28Z") },
            { task_id: 47, annotator_id: 3, expected_score: "5.12", spread: "0.770", unit_noise: "0.30", noise_term: "0.231", label: "5", seconds_spent: "60", effort_noise: "0.78", submitted_at: new Date("2026-02-14T15:45:34Z") },
            { task_id: 120, annotator_id: 2, expected_score: "7.60", spread: "1.397", unit_noise: "-0.38", noise_term: "-0.531", label: "7", seconds_spent: "102", effort_noise: "1.13", submitted_at: new Date("2026-02-21T12:38:20Z") },
            { task_id: 120, annotator_id: 10, expected_score: "7.76", spread: "0.956", unit_noise: "-0.32", noise_term: "-0.306", label: "7", seconds_spent: "20", effort_noise: "0.51", submitted_at: new Date("2026-02-24T09:23:22Z") },
            { task_id: 47, annotator_id: 9, expected_score: "4.70", spread: "0.690", unit_noise: "-0.58", noise_term: "-0.400", label: "4", seconds_spent: "6", effort_noise: "0.54", submitted_at: new Date("2026-02-09T14:39:51Z") },
            { task_id: 2, annotator_id: 3, expected_score: "6.95", spread: "0.562", unit_noise: "-0.20", noise_term: "-0.112", label: "7", seconds_spent: "49", effort_noise: "0.63", submitted_at: new Date("2026-02-09T12:47:12Z") },
            { task_id: 117, annotator_id: 13, expected_score: "4.36", spread: "0.341", unit_noise: "0.39", noise_term: "0.133", label: "4", seconds_spent: "15", effort_noise: "1.26", submitted_at: new Date("2026-02-15T14:49:07Z") },
            { task_id: 66, annotator_id: 7, expected_score: "6.90", spread: "0.859", unit_noise: "-0.35", noise_term: "-0.301", label: "7", seconds_spent: "60", effort_noise: "1.14", submitted_at: new Date("2026-01-21T14:54:32Z") },
            { task_id: 43, annotator_id: 4, expected_score: "5.96", spread: "0.608", unit_noise: "-0.19", noise_term: "-0.116", label: "6", seconds_spent: "33", effort_noise: "0.87", submitted_at: new Date("2026-02-09T19:55:51Z") },
            { task_id: 80, annotator_id: 5, expected_score: "4.25", spread: "0.862", unit_noise: "0.12", noise_term: "0.103", label: "4", seconds_spent: "37", effort_noise: "0.89", submitted_at: new Date("2026-02-17T14:18:43Z") },
            { task_id: 89, annotator_id: 10, expected_score: "8.13", spread: "0.892", unit_noise: "-0.74", noise_term: "-0.660", label: "7", seconds_spent: "20", effort_noise: "0.51", submitted_at: new Date("2026-01-25T10:50:24Z") },
            { task_id: 109, annotator_id: 14, expected_score: "3.53", spread: "0.572", unit_noise: "-0.78", noise_term: "-0.446", label: "3", seconds_spent: "55", effort_noise: "0.76", submitted_at: new Date("2026-02-17T16:03:16Z") },
            { task_id: 4, annotator_id: 5, expected_score: "4.57", spread: "0.816", unit_noise: "0.71", noise_term: "0.579", label: "5", seconds_spent: "57", effort_noise: "1.36", submitted_at: new Date("2026-01-17T15:25:39Z") },
            { task_id: 74, annotator_id: 10, expected_score: "3.99", spread: "0.937", unit_noise: "-0.68", noise_term: "-0.637", label: "3", seconds_spent: "58", effort_noise: "1.44", submitted_at: new Date("2026-02-15T15:34:10Z") },
            { task_id: 84, annotator_id: 4, expected_score: "4.91", spread: "0.531", unit_noise: "0.16", noise_term: "0.085", label: "5", seconds_spent: "33", effort_noise: "0.86", submitted_at: new Date("2026-01-30T06:58:48Z") },
            { task_id: 33, annotator_id: 1, expected_score: "4.15", spread: "0.707", unit_noise: "-0.12", noise_term: "-0.085", label: "4", seconds_spent: "13", effort_noise: "0.69", submitted_at: new Date("2026-01-20T16:33:51Z") },
            { task_id: 52, annotator_id: 10, expected_score: "6.45", spread: "1.010", unit_noise: "-0.29", noise_term: "-0.293", label: "6", seconds_spent: "62", effort_noise: "1.55", submitted_at: new Date("2026-01-20T10:19:51Z") },
            { task_id: 29, annotator_id: 1, expected_score: "7.59", spread: "0.335", unit_noise: "-0.74", noise_term: "-0.248", label: "7", seconds_spent: "10", effort_noise: "0.51", submitted_at: new Date("2026-02-23T11:17:41Z") },
            { task_id: 1, annotator_id: 5, expected_score: "3.66", spread: "0.400", unit_noise: "0.32", noise_term: "0.128", label: "4", seconds_spent: "22", effort_noise: "0.53", submitted_at: new Date("2026-02-12T08:48:09Z") },
            { task_id: 66, annotator_id: 11, expected_score: "6.93", spread: "0.738", unit_noise: "-0.43", noise_term: "-0.317", label: "7", seconds_spent: "23", effort_noise: "1.64", submitted_at: new Date("2026-01-20T15:59:48Z") },
            { task_id: 114, annotator_id: 11, expected_score: "6.07", spread: "0.364", unit_noise: "0.69", noise_term: "0.251", label: "6", seconds_spent: "10", effort_noise: "0.70", submitted_at: new Date("2026-02-22T08:55:35Z") },
            { task_id: 18, annotator_id: 13, expected_score: "5.18", spread: "0.374", unit_noise: "-0.84", noise_term: "-0.314", label: "5", seconds_spent: "13", effort_noise: "1.11", submitted_at: new Date("2026-02-09T09:18:29Z") },
            { task_id: 65, annotator_id: 14, expected_score: "5.35", spread: "1.130", unit_noise: "-0.73", noise_term: "-0.825", label: "5", seconds_spent: "48", effort_noise: "0.67", submitted_at: new Date("2026-02-06T14:41:23Z") },
            { task_id: 50, annotator_id: 12, expected_score: "3.46", spread: "0.416", unit_noise: "-0.96", noise_term: "-0.399", label: "3", seconds_spent: "42", effort_noise: "0.65", submitted_at: new Date("2026-02-15T11:01:37Z") },
            { task_id: 72, annotator_id: 6, expected_score: "5.53", spread: "0.575", unit_noise: "0.30", noise_term: "0.173", label: "6", seconds_spent: "34", effort_noise: "0.57", submitted_at: new Date("2026-02-27T10:05:05Z") },
            { task_id: 81, annotator_id: 9, expected_score: "5.74", spread: "0.738", unit_noise: "-0.16", noise_term: "-0.118", label: "6", seconds_spent: "15", effort_noise: "1.23", submitted_at: new Date("2026-02-14T09:55:13Z") },
            { task_id: 2, annotator_id: 5, expected_score: "6.76", spread: "0.562", unit_noise: "0.31", noise_term: "0.174", label: "7", seconds_spent: "21", effort_noise: "0.51", submitted_at: new Date("2026-02-15T11:13:57Z") },
            { task_id: 110, annotator_id: 12, expected_score: "5.22", spread: "0.325", unit_noise: "-0.89", noise_term: "-0.289", label: "5", seconds_spent: "44", effort_noise: "0.68", submitted_at: new Date("2026-02-28T14:00:19Z") },
            { task_id: 67, annotator_id: 13, expected_score: "7.34", spread: "0.495", unit_noise: "-0.09", noise_term: "-0.045", label: "7", seconds_spent: "18", effort_noise: "1.47", submitted_at: new Date("2026-02-23T14:03:46Z") },
            { task_id: 118, annotator_id: 2, expected_score: "7.67", spread: "0.399", unit_noise: "-0.97", noise_term: "-0.387", label: "7", seconds_spent: "52", effort_noise: "0.58", submitted_at: new Date("2026-03-05T09:55:52Z") },
            { task_id: 107, annotator_id: 13, expected_score: "3.53", spread: "1.045", unit_noise: "0.44", noise_term: "0.460", label: "4", seconds_spent: "11", effort_noise: "0.90", submitted_at: new Date("2026-01-29T14:18:38Z") },
            { task_id: 98, annotator_id: 2, expected_score: "5.91", spread: "1.317", unit_noise: "0.85", noise_term: "1.119", label: "7", seconds_spent: "158", effort_noise: "1.75", submitted_at: new Date("2026-02-28T14:20:15Z") },
            { task_id: 56, annotator_id: 6, expected_score: "6.95", spread: "0.656", unit_noise: "-1.00", noise_term: "-0.656", label: "6", seconds_spent: "48", effort_noise: "0.81", submitted_at: new Date("2026-02-10T14:31:47Z") },
            { task_id: 103, annotator_id: 6, expected_score: "3.95", spread: "0.308", unit_noise: "0.19", noise_term: "0.059", label: "4", seconds_spent: "41", effort_noise: "0.69", submitted_at: new Date("2026-02-15T16:45:07Z") },
            { task_id: 29, annotator_id: 5, expected_score: "8.24", spread: "0.277", unit_noise: "-0.63", noise_term: "-0.175", label: "8", seconds_spent: "30", effort_noise: "0.72", submitted_at: new Date("2026-03-04T15:30:41Z") },
            { task_id: 112, annotator_id: 13, expected_score: "5.44", spread: "0.836", unit_noise: "0.50", noise_term: "0.418", label: "6", seconds_spent: "7", effort_noise: "0.59", submitted_at: new Date("2026-01-24T14:17:00Z") },
            { task_id: 42, annotator_id: 12, expected_score: "3.17", spread: "0.527", unit_noise: "0.72", noise_term: "0.379", label: "4", seconds_spent: "34", effort_noise: "0.53", submitted_at: new Date("2026-02-16T10:49:37Z") },
            { task_id: 97, annotator_id: 8, expected_score: "2.75", spread: "0.984", unit_noise: "-0.95", noise_term: "-0.935", label: "2", seconds_spent: "6", effort_noise: "0.50", submitted_at: new Date("2026-02-28T15:54:50Z") },
            { task_id: 59, annotator_id: 11, expected_score: "6.24", spread: "0.967", unit_noise: "-0.08", noise_term: "-0.077", label: "6", seconds_spent: "25", effort_noise: "1.79", submitted_at: new Date("2026-01-27T16:46:35Z") },
            { task_id: 1, annotator_id: 14, expected_score: "3.86", spread: "0.660", unit_noise: "-0.04", noise_term: "-0.026", label: "4", seconds_spent: "47", effort_noise: "0.65", submitted_at: new Date("2026-02-07T17:19:57Z") },
            { task_id: 61, annotator_id: 2, expected_score: "3.22", spread: "0.452", unit_noise: "-0.67", noise_term: "-0.303", label: "3", seconds_spent: "48", effort_noise: "0.53", submitted_at: new Date("2026-03-02T17:51:49Z") },
            { task_id: 39, annotator_id: 8, expected_score: "5.28", spread: "0.385", unit_noise: "-0.44", noise_term: "-0.169", label: "5", seconds_spent: "11", effort_noise: "0.90", submitted_at: new Date("2026-02-17T10:44:05Z") },
            { task_id: 108, annotator_id: 13, expected_score: "6.61", spread: "1.265", unit_noise: "0.89", noise_term: "1.126", label: "8", seconds_spent: "20", effort_noise: "1.64", submitted_at: new Date("2026-02-10T14:59:58Z") },
            { task_id: 51, annotator_id: 7, expected_score: "7.37", spread: "1.428", unit_noise: "-0.58", noise_term: "-0.828", label: "7", seconds_spent: "46", effort_noise: "0.87", submitted_at: new Date("2026-01-20T12:31:06Z") },
            { task_id: 26, annotator_id: 11, expected_score: "5.08", spread: "0.593", unit_noise: "0.42", noise_term: "0.249", label: "5", seconds_spent: "17", effort_noise: "1.18", submitted_at: new Date("2026-01-31T19:32:20Z") },
            { task_id: 17, annotator_id: 6, expected_score: "6.59", spread: "0.502", unit_noise: "-0.87", noise_term: "-0.437", label: "6", seconds_spent: "63", effort_noise: "1.07", submitted_at: new Date("2026-02-01T09:24:52Z") },
            { task_id: 28, annotator_id: 5, expected_score: "6.42", spread: "0.578", unit_noise: "0.13", noise_term: "0.075", label: "6", seconds_spent: "33", effort_noise: "0.78", submitted_at: new Date("2026-02-21T14:29:27Z") },
            { task_id: 100, annotator_id: 13, expected_score: "4.58", spread: "0.539", unit_noise: "-0.90", noise_term: "-0.485", label: "4", seconds_spent: "10", effort_noise: "0.85", submitted_at: new Date("2026-02-25T17:14:14Z") },
            { task_id: 104, annotator_id: 14, expected_score: "5.77", spread: "0.508", unit_noise: "0.72", noise_term: "0.366", label: "6", seconds_spent: "80", effort_noise: "1.11", submitted_at: new Date("2026-01-27T13:21:25Z") },
            { task_id: 34, annotator_id: 13, expected_score: "5.75", spread: "0.517", unit_noise: "0.24", noise_term: "0.124", label: "6", seconds_spent: "8", effort_noise: "0.65", submitted_at: new Date("2026-02-10T14:58:31Z") },
            { task_id: 11, annotator_id: 8, expected_score: "7.23", spread: "0.640", unit_noise: "0.28", noise_term: "0.179", label: "7", seconds_spent: "15", effort_noise: "1.21", submitted_at: new Date("2026-02-11T11:20:16Z") },
            { task_id: 38, annotator_id: 3, expected_score: "6.56", spread: "0.593", unit_noise: "0.05", noise_term: "0.030", label: "7", seconds_spent: "39", effort_noise: "0.50", submitted_at: new Date("2026-01-26T11:09:54Z") },
            { task_id: 83, annotator_id: 3, expected_score: "4.76", spread: "0.862", unit_noise: "0.70", noise_term: "0.603", label: "5", seconds_spent: "39", effort_noise: "0.50", submitted_at: new Date("2026-01-21T10:18:31Z") },
            { task_id: 48, annotator_id: 5, expected_score: "4.30", spread: "0.362", unit_noise: "0.06", noise_term: "0.022", label: "4", seconds_spent: "67", effort_noise: "1.59", submitted_at: new Date("2026-02-06T15:25:54Z") },
            { task_id: 91, annotator_id: 10, expected_score: "5.71", spread: "0.382", unit_noise: "-0.03", noise_term: "-0.011", label: "6", seconds_spent: "22", effort_noise: "0.54", submitted_at: new Date("2026-02-05T15:06:06Z") },
            { task_id: 23, annotator_id: 1, expected_score: "5.41", spread: "0.595", unit_noise: "0.09", noise_term: "0.054", label: "5", seconds_spent: "10", effort_noise: "0.51", submitted_at: new Date("2026-02-12T13:32:22Z") },
            { task_id: 106, annotator_id: 11, expected_score: "7.11", spread: "0.416", unit_noise: "-0.10", noise_term: "-0.042", label: "7", seconds_spent: "11", effort_noise: "0.75", submitted_at: new Date("2026-01-21T22:54:42Z") },
            { task_id: 96, annotator_id: 13, expected_score: "4.85", spread: "1.023", unit_noise: "-0.29", noise_term: "-0.297", label: "5", seconds_spent: "8", effort_noise: "0.63", submitted_at: new Date("2026-03-01T08:07:24Z") },
            { task_id: 14, annotator_id: 10, expected_score: "3.94", spread: "0.974", unit_noise: "-0.55", noise_term: "-0.536", label: "3", seconds_spent: "26", effort_noise: "0.66", submitted_at: new Date("2026-02-09T12:26:11Z") },
            { task_id: 114, annotator_id: 13, expected_score: "5.41", spread: "0.385", unit_noise: "0.40", noise_term: "0.154", label: "6", seconds_spent: "8", effort_noise: "0.63", submitted_at: new Date("2026-02-23T13:54:47Z") },
            { task_id: 61, annotator_id: 8, expected_score: "2.75", spread: "0.279", unit_noise: "-0.53", noise_term: "-0.148", label: "3", seconds_spent: "21", effort_noise: "1.78", submitted_at: new Date("2026-03-02T10:03:40Z") },
            { task_id: 5, annotator_id: 5, expected_score: "4.78", spread: "0.809", unit_noise: "-0.84", noise_term: "-0.680", label: "4", seconds_spent: "26", effort_noise: "0.62", submitted_at: new Date("2026-01-20T12:39:37Z") },
            { task_id: 108, annotator_id: 6, expected_score: "6.76", spread: "0.932", unit_noise: "-0.35", noise_term: "-0.326", label: "6", seconds_spent: "35", effort_noise: "0.59", submitted_at: new Date("2026-02-11T12:03:02Z") },
            { task_id: 93, annotator_id: 10, expected_score: "5.85", spread: "0.710", unit_noise: "0.73", noise_term: "0.518", label: "6", seconds_spent: "26", effort_noise: "0.66", submitted_at: new Date("2026-02-11T10:17:45Z") },
            { task_id: 72, annotator_id: 11, expected_score: "6.04", spread: "0.738", unit_noise: "0.26", noise_term: "0.192", label: "6", seconds_spent: "18", effort_noise: "1.28", submitted_at: new Date("2026-02-23T18:59:44Z") },
            { task_id: 4, annotator_id: 2, expected_score: "4.52", spread: "1.410", unit_noise: "0.44", noise_term: "0.620", label: "5", seconds_spent: "95", effort_noise: "1.05", submitted_at: new Date("2026-01-24T17:14:50Z") },
            { task_id: 63, annotator_id: 10, expected_score: "5.96", spread: "0.965", unit_noise: "-0.29", noise_term: "-0.280", label: "6", seconds_spent: "70", effort_noise: "1.74", submitted_at: new Date("2026-02-24T09:09:30Z") },
            { task_id: 32, annotator_id: 12, expected_score: "7.34", spread: "0.403", unit_noise: "0.50", noise_term: "0.202", label: "8", seconds_spent: "53", effort_noise: "0.81", submitted_at: new Date("2026-01-26T10:38:34Z") },
            { task_id: 107, annotator_id: 12, expected_score: "3.73", spread: "0.617", unit_noise: "0.49", noise_term: "0.302", label: "4", seconds_spent: "116", effort_noise: "1.79", submitted_at: new Date("2026-02-02T10:45:58Z") },
            { task_id: 9, annotator_id: 3, expected_score: "5.90", spread: "0.601", unit_noise: "-0.06", noise_term: "-0.036", label: "6", seconds_spent: "51", effort_noise: "0.66", submitted_at: new Date("2026-01-29T11:19:57Z") },
            { task_id: 23, annotator_id: 8, expected_score: "5.54", spread: "0.525", unit_noise: "0.27", noise_term: "0.142", label: "6", seconds_spent: "6", effort_noise: "0.50", submitted_at: new Date("2026-02-10T11:53:31Z") },
            { task_id: 32, annotator_id: 7, expected_score: "7.77", spread: "0.750", unit_noise: "-0.90", noise_term: "-0.675", label: "7", seconds_spent: "70", effort_noise: "1.33", submitted_at: new Date("2026-02-02T16:05:39Z") },
            { task_id: 43, annotator_id: 12, expected_score: "6.13", spread: "0.617", unit_noise: "-0.51", noise_term: "-0.315", label: "6", seconds_spent: "40", effort_noise: "0.62", submitted_at: new Date("2026-02-21T14:10:56Z") },
            { task_id: 37, annotator_id: 3, expected_score: "4.16", spread: "0.331", unit_noise: "0.42", noise_term: "0.139", label: "4", seconds_spent: "50", effort_noise: "0.65", submitted_at: new Date("2026-02-03T16:06:20Z") },
            { task_id: 109, annotator_id: 12, expected_score: "2.95", spread: "0.293", unit_noise: "-0.57", noise_term: "-0.167", label: "3", seconds_spent: "44", effort_noise: "0.67", submitted_at: new Date("2026-02-16T09:25:52Z") },
            { task_id: 115, annotator_id: 10, expected_score: "3.47", spread: "0.792", unit_noise: "0.54", noise_term: "0.428", label: "4", seconds_spent: "28", effort_noise: "0.69", submitted_at: new Date("2026-02-21T17:06:59Z") },
            { task_id: 86, annotator_id: 2, expected_score: "5.66", spread: "0.944", unit_noise: "0.22", noise_term: "0.208", label: "6", seconds_spent: "149", effort_noise: "1.65", submitted_at: new Date("2026-01-28T14:48:32Z") },
            { task_id: 21, annotator_id: 11, expected_score: "6.87", spread: "1.248", unit_noise: "0.95", noise_term: "1.186", label: "8", seconds_spent: "19", effort_noise: "1.38", submitted_at: new Date("2026-02-18T09:54:34Z") },
            { task_id: 35, annotator_id: 2, expected_score: "6.22", spread: "1.011", unit_noise: "-0.95", noise_term: "-0.960", label: "5", seconds_spent: "91", effort_noise: "1.01", submitted_at: new Date("2026-02-24T12:25:07Z") },
            { task_id: 75, annotator_id: 13, expected_score: "5.27", spread: "0.385", unit_noise: "-0.05", noise_term: "-0.019", label: "5", seconds_spent: "6", effort_noise: "0.54", submitted_at: new Date("2026-02-07T14:37:12Z") },
            { task_id: 115, annotator_id: 8, expected_score: "2.84", spread: "0.713", unit_noise: "-0.80", noise_term: "-0.570", label: "2", seconds_spent: "10", effort_noise: "0.85", submitted_at: new Date("2026-02-19T10:10:41Z") },
            { task_id: 91, annotator_id: 8, expected_score: "5.08", spread: "0.344", unit_noise: "0.67", noise_term: "0.230", label: "5", seconds_spent: "9", effort_noise: "0.73", submitted_at: new Date("2026-02-08T15:05:42Z") },
            { task_id: 58, annotator_id: 1, expected_score: "6.71", spread: "0.660", unit_noise: "-0.84", noise_term: "-0.554", label: "6", seconds_spent: "19", effort_noise: "1.01", submitted_at: new Date("2026-02-01T10:38:25Z") },
            { task_id: 60, annotator_id: 1, expected_score: "4.51", spread: "0.921", unit_noise: "0.76", noise_term: "0.700", label: "5", seconds_spent: "34", effort_noise: "1.78", submitted_at: new Date("2026-02-17T14:58:01Z") },
            { task_id: 28, annotator_id: 3, expected_score: "6.61", spread: "0.578", unit_noise: "-0.70", noise_term: "-0.405", label: "6", seconds_spent: "122", effort_noise: "1.59", submitted_at: new Date("2026-02-22T10:07:23Z") },
            { task_id: 34, annotator_id: 7, expected_score: "6.38", spread: "0.569", unit_noise: "0.62", noise_term: "0.353", label: "7", seconds_spent: "29", effort_noise: "0.55", submitted_at: new Date("2026-02-01T14:46:51Z") },
            { task_id: 18, annotator_id: 8, expected_score: "5.24", spread: "0.279", unit_noise: "0.39", noise_term: "0.109", label: "5", seconds_spent: "9", effort_noise: "0.74", submitted_at: new Date("2026-02-09T16:27:07Z") },
            { task_id: 24, annotator_id: 8, expected_score: "3.02", spread: "0.894", unit_noise: "-0.81", noise_term: "-0.724", label: "2", seconds_spent: "19", effort_noise: "1.58", submitted_at: new Date("2026-02-08T15:49:22Z") },
            { task_id: 31, annotator_id: 9, expected_score: "5.15", spread: "0.414", unit_noise: "-0.12", noise_term: "-0.050", label: "5", seconds_spent: "6", effort_noise: "0.51", submitted_at: new Date("2026-01-26T21:44:20Z") },
            { task_id: 84, annotator_id: 6, expected_score: "5.03", spread: "0.672", unit_noise: "0.98", noise_term: "0.659", label: "6", seconds_spent: "31", effort_noise: "0.52", submitted_at: new Date("2026-01-21T23:56:43Z") },
            { task_id: 96, annotator_id: 2, expected_score: "5.38", spread: "1.237", unit_noise: "0.48", noise_term: "0.594", label: "6", seconds_spent: "77", effort_noise: "0.85", submitted_at: new Date("2026-03-04T15:40:43Z") },
            { task_id: 85, annotator_id: 13, expected_score: "7.16", spread: "1.100", unit_noise: "0.37", noise_term: "0.407", label: "8", seconds_spent: "21", effort_noise: "1.71", submitted_at: new Date("2026-01-22T12:43:35Z") },
            { task_id: 76, annotator_id: 8, expected_score: "5.16", spread: "0.804", unit_noise: "0.58", noise_term: "0.466", label: "6", seconds_spent: "12", effort_noise: "0.97", submitted_at: new Date("2026-02-06T06:50:02Z") },
            { task_id: 101, annotator_id: 5, expected_score: "4.12", spread: "0.832", unit_noise: "0.40", noise_term: "0.333", label: "4", seconds_spent: "34", effort_noise: "0.81", submitted_at: new Date("2026-02-17T15:26:17Z") },
            { task_id: 56, annotator_id: 9, expected_score: "7.15", spread: "0.559", unit_noise: "0.46", noise_term: "0.257", label: "7", seconds_spent: "11", effort_noise: "0.95", submitted_at: new Date("2026-02-10T20:05:50Z") },
            { task_id: 6, annotator_id: 2, expected_score: "5.02", spread: "0.891", unit_noise: "0.68", noise_term: "0.606", label: "6", seconds_spent: "96", effort_noise: "1.07", submitted_at: new Date("2026-01-15T08:30:09Z") },
            { task_id: 24, annotator_id: 2, expected_score: "3.49", spread: "1.450", unit_noise: "0.62", noise_term: "0.899", label: "4", seconds_spent: "71", effort_noise: "0.79", submitted_at: new Date("2026-01-27T10:50:25Z") },
            { task_id: 10, annotator_id: 4, expected_score: "4.21", spread: "0.640", unit_noise: "0.09", noise_term: "0.058", label: "4", seconds_spent: "29", effort_noise: "0.77", submitted_at: new Date("2026-01-20T11:06:49Z") },
            { task_id: 87, annotator_id: 3, expected_score: "4.41", spread: "0.354", unit_noise: "0.78", noise_term: "0.276", label: "5", seconds_spent: "131", effort_noise: "1.70", submitted_at: new Date("2026-02-07T23:39:15Z") },
            { task_id: 54, annotator_id: 14, expected_score: "8.06", spread: "0.699", unit_noise: "0.67", noise_term: "0.468", label: "9", seconds_spent: "36", effort_noise: "0.50", submitted_at: new Date("2026-02-17T16:22:08Z") },
            { task_id: 84, annotator_id: 10, expected_score: "5.57", spread: "0.755", unit_noise: "-0.49", noise_term: "-0.370", label: "5", seconds_spent: "29", effort_noise: "0.73", submitted_at: new Date("2026-01-31T17:37:58Z") },
            { task_id: 111, annotator_id: 5, expected_score: "6.55", spread: "0.916", unit_noise: "0.58", noise_term: "0.531", label: "7", seconds_spent: "28", effort_noise: "0.66", submitted_at: new Date("2026-02-06T09:10:39Z") },
            { task_id: 108, annotator_id: 7, expected_score: "7.24", spread: "1.392", unit_noise: "-0.34", noise_term: "-0.473", label: "7", seconds_spent: "27", effort_noise: "0.50", submitted_at: new Date("2026-02-11T11:03:20Z") },
            { task_id: 4, annotator_id: 12, expected_score: "4.19", spread: "0.689", unit_noise: "0.19", noise_term: "0.131", label: "4", seconds_spent: "59", effort_noise: "0.91", submitted_at: new Date("2026-01-27T13:35:26Z") },
            { task_id: 16, annotator_id: 8, expected_score: "6.51", spread: "0.836", unit_noise: "0.72", noise_term: "0.602", label: "7", seconds_spent: "18", effort_noise: "1.50", submitted_at: new Date("2026-03-04T11:39:16Z") },
            { task_id: 27, annotator_id: 1, expected_score: "4.39", spread: "0.493", unit_noise: "-0.07", noise_term: "-0.035", label: "4", seconds_spent: "10", effort_noise: "0.52", submitted_at: new Date("2026-01-18T16:29:08Z") },
            { task_id: 81, annotator_id: 12, expected_score: "5.59", spread: "0.696", unit_noise: "0.75", noise_term: "0.522", label: "6", seconds_spent: "33", effort_noise: "0.50", submitted_at: new Date("2026-02-18T13:49:18Z") },
            { task_id: 13, annotator_id: 13, expected_score: "3.41", spread: "0.913", unit_noise: "-0.64", noise_term: "-0.584", label: "3", seconds_spent: "11", effort_noise: "0.91", submitted_at: new Date("2026-02-22T08:06:54Z") },
            { task_id: 102, annotator_id: 5, expected_score: "8.04", spread: "0.377", unit_noise: "0.83", noise_term: "0.313", label: "8", seconds_spent: "66", effort_noise: "1.57", submitted_at: new Date("2026-02-18T09:07:47Z") },
            { task_id: 37, annotator_id: 14, expected_score: "4.17", spread: "0.546", unit_noise: "0.79", noise_term: "0.431", label: "5", seconds_spent: "37", effort_noise: "0.52", submitted_at: new Date("2026-02-14T11:50:08Z") },
            { task_id: 41, annotator_id: 6, expected_score: "6.32", spread: "0.543", unit_noise: "-0.90", noise_term: "-0.489", label: "6", seconds_spent: "39", effort_noise: "0.66", submitted_at: new Date("2026-02-09T11:59:18Z") },
            { task_id: 21, annotator_id: 5, expected_score: "6.79", spread: "0.924", unit_noise: "0.31", noise_term: "0.286", label: "7", seconds_spent: "42", effort_noise: "1.01", submitted_at: new Date("2026-02-17T12:27:26Z") },
            { task_id: 25, annotator_id: 2, expected_score: "4.99", spread: "0.439", unit_noise: "0.98", noise_term: "0.430", label: "5", seconds_spent: "56", effort_noise: "0.62", submitted_at: new Date("2026-02-14T11:49:29Z") },
            { task_id: 78, annotator_id: 9, expected_score: "3.97", spread: "0.331", unit_noise: "-0.91", noise_term: "-0.301", label: "4", seconds_spent: "19", effort_noise: "1.57", submitted_at: new Date("2026-01-14T13:35:40Z") },
            { task_id: 30, annotator_id: 4, expected_score: "5.65", spread: "0.531", unit_noise: "-0.73", noise_term: "-0.388", label: "5", seconds_spent: "54", effort_noise: "1.41", submitted_at: new Date("2026-02-13T16:52:57Z") },
            { task_id: 12, annotator_id: 2, expected_score: "4.01", spread: "1.024", unit_noise: "0.74", noise_term: "0.758", label: "5", seconds_spent: "144", effort_noise: "1.60", submitted_at: new Date("2026-02-08T15:13:42Z") },
            { task_id: 102, annotator_id: 9, expected_score: "7.81", spread: "0.338", unit_noise: "-0.84", noise_term: "-0.284", label: "8", seconds_spent: "7", effort_noise: "0.57", submitted_at: new Date("2026-02-15T15:11:56Z") },
            { task_id: 16, annotator_id: 7, expected_score: "7.08", spread: "1.234", unit_noise: "0.32", noise_term: "0.395", label: "7", seconds_spent: "69", effort_noise: "1.31", submitted_at: new Date("2026-03-01T17:07:06Z") },
            { task_id: 53, annotator_id: 13, expected_score: "5.96", spread: "1.298", unit_noise: "0.12", noise_term: "0.156", label: "6", seconds_spent: "9", effort_noise: "0.73", submitted_at: new Date("2026-02-27T09:18:19Z") },
            { task_id: 20, annotator_id: 4, expected_score: "5.22", spread: "0.371", unit_noise: "0.34", noise_term: "0.126", label: "5", seconds_spent: "36", effort_noise: "0.96", submitted_at: new Date("2026-02-02T19:49:07Z") },
            { task_id: 70, annotator_id: 10, expected_score: "7.41", spread: "0.419", unit_noise: "0.00", noise_term: "0.000", label: "7", seconds_spent: "44", effort_noise: "1.10", submitted_at: new Date("2026-01-18T11:07:38Z") },
            { task_id: 73, annotator_id: 6, expected_score: "4.81", spread: "0.672", unit_noise: "-0.64", noise_term: "-0.430", label: "4", seconds_spent: "33", effort_noise: "0.56", submitted_at: new Date("2026-02-22T10:38:42Z") },
            { task_id: 64, annotator_id: 2, expected_score: "3.42", spread: "0.559", unit_noise: "0.92", noise_term: "0.514", label: "4", seconds_spent: "47", effort_noise: "0.52", submitted_at: new Date("2026-02-05T09:14:34Z") },
            { task_id: 64, annotator_id: 3, expected_score: "3.66", spread: "0.323", unit_noise: "-0.75", noise_term: "-0.242", label: "3", seconds_spent: "46", effort_noise: "0.60", submitted_at: new Date("2026-01-27T16:11:52Z") },
            { task_id: 101, annotator_id: 10, expected_score: "4.23", spread: "0.983", unit_noise: "-0.02", noise_term: "-0.020", label: "4", seconds_spent: "58", effort_noise: "1.44", submitted_at: new Date("2026-02-23T11:11:59Z") },
            { task_id: 117, annotator_id: 9, expected_score: "4.71", spread: "0.214", unit_noise: "-0.77", noise_term: "-0.165", label: "5", seconds_spent: "9", effort_noise: "0.71", submitted_at: new Date("2026-02-19T17:08:22Z") },
            { task_id: 50, annotator_id: 8, expected_score: "3.32", spread: "0.525", unit_noise: "0.58", noise_term: "0.305", label: "4", seconds_spent: "12", effort_noise: "0.99", submitted_at: new Date("2026-02-11T12:07:43Z") },
            { task_id: 68, annotator_id: 13, expected_score: "3.77", spread: "1.067", unit_noise: "-0.69", noise_term: "-0.736", label: "3", seconds_spent: "6", effort_noise: "0.50", submitted_at: new Date("2026-01-31T18:58:44Z") },
            { task_id: 82, annotator_id: 10, expected_score: "6.17", spread: "0.410", unit_noise: "0.98", noise_term: "0.402", label: "7", seconds_spent: "32", effort_noise: "0.81", submitted_at: new Date("2026-01-29T13:56:23Z") },
            { task_id: 30, annotator_id: 6, expected_score: "5.77", spread: "0.672", unit_noise: "-0.41", noise_term: "-0.276", label: "5", seconds_spent: "62", effort_noise: "1.05", submitted_at: new Date("2026-02-14T08:24:21Z") },
            { task_id: 66, annotator_id: 3, expected_score: "7.04", spread: "0.547", unit_noise: "0.57", noise_term: "0.312", label: "7", seconds_spent: "39", effort_noise: "0.51", submitted_at: new Date("2026-01-14T13:41:22Z") },
            { task_id: 93, annotator_id: 13, expected_score: "5.16", spread: "0.858", unit_noise: "0.70", noise_term: "0.601", label: "6", seconds_spent: "6", effort_noise: "0.51", submitted_at: new Date("2026-02-06T16:22:31Z") },
            { task_id: 63, annotator_id: 14, expected_score: "6.05", spread: "1.346", unit_noise: "0.63", noise_term: "0.848", label: "7", seconds_spent: "53", effort_noise: "0.73", submitted_at: new Date("2026-02-14T10:26:29Z") },
            { task_id: 95, annotator_id: 1, expected_score: "6.29", spread: "1.014", unit_noise: "-0.34", noise_term: "-0.345", label: "6", seconds_spent: "10", effort_noise: "0.50", submitted_at: new Date("2026-01-30T13:06:23Z") },
            { task_id: 70, annotator_id: 5, expected_score: "7.30", spread: "0.354", unit_noise: "-0.31", noise_term: "-0.110", label: "7", seconds_spent: "25", effort_noise: "0.59", submitted_at: new Date("2026-01-13T14:22:53Z") },
            { task_id: 29, annotator_id: 11, expected_score: "8.32", spread: "0.374", unit_noise: "0.12", noise_term: "0.045", label: "8", seconds_spent: "7", effort_noise: "0.50", submitted_at: new Date("2026-03-01T07:55:08Z") },
            { task_id: 62, annotator_id: 11, expected_score: "6.14", spread: "0.634", unit_noise: "-0.17", noise_term: "-0.108", label: "6", seconds_spent: "15", effort_noise: "1.06", submitted_at: new Date("2026-02-22T15:02:00Z") },
            { task_id: 22, annotator_id: 11, expected_score: "7.70", spread: "0.915", unit_noise: "0.94", noise_term: "0.860", label: "9", seconds_spent: "17", effort_noise: "1.21", submitted_at: new Date("2026-02-13T09:53:42Z") },
            { task_id: 113, annotator_id: 5, expected_score: "3.97", spread: "0.862", unit_noise: "-0.91", noise_term: "-0.784", label: "3", seconds_spent: "24", effort_noise: "0.58", submitted_at: new Date("2026-02-24T10:16:52Z") },
            { task_id: 33, annotator_id: 11, expected_score: "4.88", spread: "0.790", unit_noise: "-0.22", noise_term: "-0.174", label: "5", seconds_spent: "7", effort_noise: "0.53", submitted_at: new Date("2026-01-23T09:12:06Z") },
            { task_id: 53, annotator_id: 5, expected_score: "6.54", spread: "0.909", unit_noise: "0.84", noise_term: "0.764", label: "7", seconds_spent: "44", effort_noise: "1.05", submitted_at: new Date("2026-02-25T14:19:50Z") },
            { task_id: 31, annotator_id: 3, expected_score: "5.57", spread: "0.462", unit_noise: "-0.88", noise_term: "-0.407", label: "5", seconds_spent: "39", effort_noise: "0.50", submitted_at: new Date("2026-01-26T13:34:07Z") },
            { task_id: 65, annotator_id: 8, expected_score: "4.63", spread: "0.730", unit_noise: "-0.13", noise_term: "-0.095", label: "5", seconds_spent: "6", effort_noise: "0.54", submitted_at: new Date("2026-01-29T09:18:42Z") },
            { task_id: 41, annotator_id: 14, expected_score: "6.95", spread: "0.851", unit_noise: "0.91", noise_term: "0.774", label: "8", seconds_spent: "50", effort_noise: "0.70", submitted_at: new Date("2026-02-06T16:13:03Z") },
            { task_id: 12, annotator_id: 13, expected_score: "3.48", spread: "0.847", unit_noise: "-0.87", noise_term: "-0.737", label: "3", seconds_spent: "10", effort_noise: "0.85", submitted_at: new Date("2026-01-31T17:11:24Z") },
            { task_id: 95, annotator_id: 6, expected_score: "6.51", spread: "0.883", unit_noise: "-0.57", noise_term: "-0.503", label: "6", seconds_spent: "30", effort_noise: "0.50", submitted_at: new Date("2026-02-01T17:14:03Z") },
            { task_id: 28, annotator_id: 9, expected_score: "6.19", spread: "0.518", unit_noise: "-0.77", noise_term: "-0.399", label: "6", seconds_spent: "14", effort_noise: "1.16", submitted_at: new Date("2026-03-03T14:52:24Z") },
            { task_id: 14, annotator_id: 12, expected_score: "3.45", spread: "0.696", unit_noise: "-0.56", noise_term: "-0.390", label: "3", seconds_spent: "55", effort_noise: "0.84", submitted_at: new Date("2026-02-04T09:33:13Z") },
            { task_id: 55, annotator_id: 2, expected_score: "6.98", spread: "0.678", unit_noise: "0.59", noise_term: "0.400", label: "7", seconds_spent: "61", effort_noise: "0.68", submitted_at: new Date("2026-02-04T09:03:43Z") },
            { task_id: 81, annotator_id: 7, expected_score: "6.02", spread: "1.295", unit_noise: "0.86", noise_term: "1.114", label: "7", seconds_spent: "81", effort_noise: "1.53", submitted_at: new Date("2026-02-14T10:25:53Z") },
            { task_id: 110, annotator_id: 8, expected_score: "5.08", spread: "0.410", unit_noise: "-0.02", noise_term: "-0.008", label: "5", seconds_spent: "7", effort_noise: "0.58", submitted_at: new Date("2026-03-05T12:33:19Z") },
            { task_id: 65, annotator_id: 10, expected_score: "5.26", spread: "0.810", unit_noise: "0.44", noise_term: "0.356", label: "6", seconds_spent: "39", effort_noise: "0.98", submitted_at: new Date("2026-01-30T10:10:14Z") },
            { task_id: 8, annotator_id: 3, expected_score: "3.63", spread: "0.616", unit_noise: "0.04", noise_term: "0.025", label: "4", seconds_spent: "93", effort_noise: "1.21", submitted_at: new Date("2026-02-18T21:33:29Z") },
            { task_id: 46, annotator_id: 7, expected_score: "7.99", spread: "1.125", unit_noise: "0.21", noise_term: "0.236", label: "8", seconds_spent: "33", effort_noise: "0.63", submitted_at: new Date("2026-02-12T11:48:33Z") },
            { task_id: 32, annotator_id: 11, expected_score: "7.80", spread: "0.645", unit_noise: "0.35", noise_term: "0.226", label: "8", seconds_spent: "21", effort_noise: "1.50", submitted_at: new Date("2026-01-28T12:22:54Z") },
            { task_id: 19, annotator_id: 7, expected_score: "5.39", spread: "1.101", unit_noise: "-0.94", noise_term: "-1.035", label: "4", seconds_spent: "68", effort_noise: "1.28", submitted_at: new Date("2026-02-07T11:20:23Z") },
            { task_id: 31, annotator_id: 1, expected_score: "4.73", spread: "0.558", unit_noise: "0.56", noise_term: "0.312", label: "5", seconds_spent: "10", effort_noise: "0.55", submitted_at: new Date("2026-01-29T15:00:46Z") },
            { task_id: 96, annotator_id: 9, expected_score: "5.20", spread: "0.642", unit_noise: "0.76", noise_term: "0.488", label: "6", seconds_spent: "11", effort_noise: "0.93", submitted_at: new Date("2026-03-01T08:30:14Z") },
            { task_id: 21, annotator_id: 8, expected_score: "6.27", spread: "0.984", unit_noise: "0.76", noise_term: "0.748", label: "7", seconds_spent: "6", effort_noise: "0.52", submitted_at: new Date("2026-02-18T12:38:40Z") },
            { task_id: 87, annotator_id: 10, expected_score: "4.33", spread: "0.419", unit_noise: "0.16", noise_term: "0.067", label: "4", seconds_spent: "61", effort_noise: "1.52", submitted_at: new Date("2026-01-27T16:52:43Z") },
            { task_id: 83, annotator_id: 5, expected_score: "4.57", spread: "0.862", unit_noise: "-0.86", noise_term: "-0.741", label: "4", seconds_spent: "59", effort_noise: "1.40", submitted_at: new Date("2026-01-24T17:03:47Z") },
            { task_id: 7, annotator_id: 12, expected_score: "3.46", spread: "0.715", unit_noise: "0.31", noise_term: "0.222", label: "4", seconds_spent: "62", effort_noise: "0.95", submitted_at: new Date("2026-02-18T13:59:29Z") },
            { task_id: 69, annotator_id: 8, expected_score: "5.59", spread: "0.295", unit_noise: "0.60", noise_term: "0.177", label: "6", seconds_spent: "12", effort_noise: "0.96", submitted_at: new Date("2026-02-25T17:26:06Z") },
            { task_id: 62, annotator_id: 12, expected_score: "5.68", spread: "0.397", unit_noise: "0.94", noise_term: "0.373", label: "6", seconds_spent: "79", effort_noise: "1.22", submitted_at: new Date("2026-02-25T11:36:09Z") },
            { task_id: 41, annotator_id: 3, expected_score: "6.94", spread: "0.516", unit_noise: "-0.16", noise_term: "-0.083", label: "7", seconds_spent: "42", effort_noise: "0.54", submitted_at: new Date("2026-02-09T10:34:52Z") },
            { task_id: 3, annotator_id: 8, expected_score: "3.51", spread: "0.459", unit_noise: "-0.10", noise_term: "-0.046", label: "3", seconds_spent: "6", effort_noise: "0.53", submitted_at: new Date("2026-02-21T12:09:59Z") },
            { task_id: 48, annotator_id: 12, expected_score: "3.92", spread: "0.306", unit_noise: "0.96", noise_term: "0.294", label: "4", seconds_spent: "75", effort_noise: "1.15", submitted_at: new Date("2026-02-09T08:45:43Z") },
            { task_id: 115, annotator_id: 11, expected_score: "3.44", spread: "0.905", unit_noise: "0.26", noise_term: "0.235", label: "4", seconds_spent: "8", effort_noise: "0.55", submitted_at: new Date("2026-02-14T09:50:48Z") },
            { task_id: 86, annotator_id: 11, expected_score: "5.79", spread: "0.738", unit_noise: "0.65", noise_term: "0.480", label: "6", seconds_spent: "9", effort_noise: "0.62", submitted_at: new Date("2026-02-03T11:43:12Z") },
            { task_id: 90, annotator_id: 13, expected_score: "6.25", spread: "1.067", unit_noise: "0.96", noise_term: "1.024", label: "7", seconds_spent: "18", effort_noise: "1.51", submitted_at: new Date("2026-02-17T17:44:19Z") },
            { task_id: 15, annotator_id: 3, expected_score: "7.13", spread: "0.639", unit_noise: "0.51", noise_term: "0.326", label: "7", seconds_spent: "89", effort_noise: "1.16", submitted_at: new Date("2026-01-23T16:15:47Z") },
            { task_id: 54, annotator_id: 13, expected_score: "7.28", spread: "0.605", unit_noise: "-0.98", noise_term: "-0.593", label: "7", seconds_spent: "14", effort_noise: "1.15", submitted_at: new Date("2026-02-22T17:49:42Z") },
            { task_id: 8, annotator_id: 7, expected_score: "3.49", spread: "0.968", unit_noise: "0.59", noise_term: "0.571", label: "4", seconds_spent: "29", effort_noise: "0.54", submitted_at: new Date("2026-02-24T18:50:47Z") },
            { task_id: 91, annotator_id: 3, expected_score: "5.79", spread: "0.323", unit_noise: "0.09", noise_term: "0.029", label: "6", seconds_spent: "134", effort_noise: "1.74", submitted_at: new Date("2026-02-04T15:48:10Z") },
            { task_id: 78, annotator_id: 6, expected_score: "3.77", spread: "0.389", unit_noise: "-0.66", noise_term: "-0.257", label: "4", seconds_spent: "31", effort_noise: "0.52", submitted_at: new Date("2026-01-18T11:52:49Z") },
            { task_id: 45, annotator_id: 8, expected_score: "6.64", spread: "0.410", unit_noise: "-0.94", noise_term: "-0.385", label: "6", seconds_spent: "13", effort_noise: "1.10", submitted_at: new Date("2026-01-18T10:57:18Z") },
            { task_id: 15, annotator_id: 9, expected_score: "6.71", spread: "0.573", unit_noise: "0.50", noise_term: "0.287", label: "7", seconds_spent: "9", effort_noise: "0.74", submitted_at: new Date("2026-01-21T09:09:27Z") },
            { task_id: 10, annotator_id: 8, expected_score: "4.24", spread: "0.820", unit_noise: "-0.39", noise_term: "-0.320", label: "4", seconds_spent: "9", effort_noise: "0.77", submitted_at: new Date("2026-01-20T09:46:33Z") },
            { task_id: 116, annotator_id: 9, expected_score: "4.84", spread: "0.393", unit_noise: "-0.42", noise_term: "-0.165", label: "5", seconds_spent: "19", effort_noise: "1.56", submitted_at: new Date("2026-01-30T10:31:38Z") },
            { task_id: 8, annotator_id: 13, expected_score: "2.86", spread: "0.880", unit_noise: "-0.53", noise_term: "-0.466", label: "2", seconds_spent: "7", effort_noise: "0.56", submitted_at: new Date("2026-02-22T14:46:52Z") },
            { task_id: 55, annotator_id: 3, expected_score: "7.22", spread: "0.393", unit_noise: "0.36", noise_term: "0.141", label: "7", seconds_spent: "96", effort_noise: "1.25", submitted_at: new Date("2026-02-04T14:42:16Z") },
            { task_id: 76, annotator_id: 1, expected_score: "5.03", spread: "0.911", unit_noise: "-0.30", noise_term: "-0.273", label: "5", seconds_spent: "12", effort_noise: "0.65", submitted_at: new Date("2026-02-12T12:07:48Z") },
            { task_id: 77, annotator_id: 12, expected_score: "4.44", spread: "0.410", unit_noise: "0.48", noise_term: "0.197", label: "5", seconds_spent: "79", effort_noise: "1.22", submitted_at: new Date("2026-01-20T12:18:39Z") },
            { task_id: 112, annotator_id: 12, expected_score: "5.64", spread: "0.494", unit_noise: "0.52", noise_term: "0.257", label: "6", seconds_spent: "44", effort_noise: "0.67", submitted_at: new Date("2026-02-01T09:43:42Z") },
            { task_id: 40, annotator_id: 10, expected_score: "6.07", spread: "1.037", unit_noise: "0.17", noise_term: "0.176", label: "6", seconds_spent: "20", effort_noise: "0.50", submitted_at: new Date("2026-02-22T13:12:54Z") },
            { task_id: 38, annotator_id: 7, expected_score: "6.42", spread: "0.932", unit_noise: "0.68", noise_term: "0.634", label: "7", seconds_spent: "70", effort_noise: "1.32", submitted_at: new Date("2026-01-29T15:17:54Z") },
            { task_id: 52, annotator_id: 4, expected_score: "5.79", spread: "0.710", unit_noise: "-0.77", noise_term: "-0.547", label: "5", seconds_spent: "46", effort_noise: "1.22", submitted_at: new Date("2026-01-20T17:03:43Z") },
            { task_id: 44, annotator_id: 6, expected_score: "3.64", spread: "0.745", unit_noise: "0.30", noise_term: "0.224", label: "4", seconds_spent: "60", effort_noise: "1.01", submitted_at: new Date("2026-01-16T17:58:47Z") },
            { task_id: 70, annotator_id: 1, expected_score: "6.65", spread: "0.428", unit_noise: "-0.13", noise_term: "-0.056", label: "7", seconds_spent: "15", effort_noise: "0.80", submitted_at: new Date("2026-01-25T13:51:56Z") },
            { task_id: 55, annotator_id: 5, expected_score: "7.03", spread: "0.393", unit_noise: "-0.44", noise_term: "-0.173", label: "7", seconds_spent: "21", effort_noise: "0.50", submitted_at: new Date("2026-02-04T15:33:42Z") },
            { task_id: 89, annotator_id: 2, expected_score: "7.97", spread: "1.303", unit_noise: "0.99", noise_term: "1.290", label: "9", seconds_spent: "90", effort_noise: "1.00", submitted_at: new Date("2026-01-29T09:45:41Z") },
            { task_id: 26, annotator_id: 5, expected_score: "5.00", spread: "0.439", unit_noise: "0.86", noise_term: "0.378", label: "5", seconds_spent: "30", effort_noise: "0.72", submitted_at: new Date("2026-01-22T09:32:08Z") },
            { task_id: 67, annotator_id: 4, expected_score: "7.37", spread: "0.288", unit_noise: "-0.28", noise_term: "-0.081", label: "7", seconds_spent: "19", effort_noise: "0.50", submitted_at: new Date("2026-02-19T09:19:15Z") },
            { task_id: 74, annotator_id: 9, expected_score: "3.65", spread: "0.711", unit_noise: "-0.01", noise_term: "-0.007", label: "4", seconds_spent: "15", effort_noise: "1.24", submitted_at: new Date("2026-02-19T15:39:33Z") },
            { task_id: 52, annotator_id: 1, expected_score: "5.69", spread: "1.032", unit_noise: "0.24", noise_term: "0.248", label: "6", seconds_spent: "13", effort_noise: "0.71", submitted_at: new Date("2026-01-24T10:43:49Z") },
            { task_id: 82, annotator_id: 3, expected_score: "6.25", spread: "0.347", unit_noise: "0.78", noise_term: "0.271", label: "7", seconds_spent: "99", effort_noise: "1.28", submitted_at: new Date("2026-01-25T16:22:43Z") },
            { task_id: 92, annotator_id: 2, expected_score: "8.10", spread: "0.652", unit_noise: "0.18", noise_term: "0.117", label: "8", seconds_spent: "73", effort_noise: "0.81", submitted_at: new Date("2026-01-28T16:10:36Z") },
            { task_id: 88, annotator_id: 10, expected_score: "7.00", spread: "0.382", unit_noise: "-0.36", noise_term: "-0.138", label: "7", seconds_spent: "29", effort_noise: "0.72", submitted_at: new Date("2026-01-19T12:07:32Z") },
            { task_id: 49, annotator_id: 2, expected_score: "7.54", spread: "0.599", unit_noise: "0.38", noise_term: "0.228", label: "8", seconds_spent: "149", effort_noise: "1.65", submitted_at: new Date("2026-02-09T16:07:06Z") },
            { task_id: 104, annotator_id: 2, expected_score: "5.52", spread: "0.532", unit_noise: "0.20", noise_term: "0.106", label: "6", seconds_spent: "47", effort_noise: "0.52", submitted_at: new Date("2026-01-21T17:50:58Z") },
            { task_id: 75, annotator_id: 7, expected_score: "5.90", spread: "0.424", unit_noise: "0.36", noise_term: "0.153", label: "6", seconds_spent: "90", effort_noise: "1.70", submitted_at: new Date("2026-02-14T16:11:02Z") },
            { task_id: 75, annotator_id: 4, expected_score: "5.30", spread: "0.224", unit_noise: "-0.61", noise_term: "-0.137", label: "5", seconds_spent: "51", effort_noise: "1.34", submitted_at: new Date("2026-02-19T15:16:39Z") },
            { task_id: 100, annotator_id: 5, expected_score: "5.16", spread: "0.377", unit_noise: "-0.13", noise_term: "-0.049", label: "5", seconds_spent: "29", effort_noise: "0.70", submitted_at: new Date("2026-02-23T01:07:06Z") },
            { task_id: 101, annotator_id: 13, expected_score: "3.54", spread: "1.188", unit_noise: "-0.13", noise_term: "-0.154", label: "3", seconds_spent: "13", effort_noise: "1.08", submitted_at: new Date("2026-02-26T11:12:19Z") },
            { task_id: 94, annotator_id: 1, expected_score: "5.50", spread: "0.456", unit_noise: "-0.66", noise_term: "-0.301", label: "5", seconds_spent: "27", effort_noise: "1.40", submitted_at: new Date("2026-01-21T11:36:13Z") },
            { task_id: 58, annotator_id: 11, expected_score: "7.44", spread: "0.738", unit_noise: "-0.41", noise_term: "-0.303", label: "7", seconds_spent: "12", effort_noise: "0.88", submitted_at: new Date("2026-02-06T15:47:19Z") },
            { task_id: 58, annotator_id: 9, expected_score: "7.13", spread: "0.490", unit_noise: "0.38", noise_term: "0.186", label: "7", seconds_spent: "6", effort_noise: "0.53", submitted_at: new Date("2026-02-09T13:03:42Z") },
            { task_id: 104, annotator_id: 9, expected_score: "5.34", spread: "0.276", unit_noise: "-0.16", noise_term: "-0.044", label: "5", seconds_spent: "21", effort_noise: "1.71", submitted_at: new Date("2026-01-24T14:50:06Z") },
            { task_id: 30, annotator_id: 14, expected_score: "6.40", spread: "1.054", unit_noise: "0.60", noise_term: "0.632", label: "7", seconds_spent: "75", effort_noise: "1.04", submitted_at: new Date("2026-02-11T09:28:37Z") },
            { task_id: 5, annotator_id: 7, expected_score: "4.83", spread: "1.271", unit_noise: "-0.62", noise_term: "-0.788", label: "4", seconds_spent: "27", effort_noise: "0.50", submitted_at: new Date("2026-01-20T16:21:26Z") },
            { task_id: 3, annotator_id: 9, expected_score: "3.80", spread: "0.386", unit_noise: "-0.48", noise_term: "-0.185", label: "4", seconds_spent: "6", effort_noise: "0.51", submitted_at: new Date("2026-02-27T18:08:34Z") },
            { task_id: 57, annotator_id: 6, expected_score: "4.70", spread: "0.859", unit_noise: "-0.77", noise_term: "-0.661", label: "4", seconds_spent: "51", effort_noise: "0.87", submitted_at: new Date("2026-02-20T11:54:17Z") },
            { task_id: 109, annotator_id: 13, expected_score: "2.75", spread: "0.495", unit_noise: "-0.90", noise_term: "-0.445", label: "2", seconds_spent: "10", effort_noise: "0.86", submitted_at: new Date("2026-02-07T10:26:30Z") },
            { task_id: 97, annotator_id: 6, expected_score: "2.84", spread: "0.972", unit_noise: "0.53", noise_term: "0.515", label: "3", seconds_spent: "61", effort_noise: "1.04", submitted_at: new Date("2026-02-24T14:25:34Z") },
            { task_id: 36, annotator_id: 7, expected_score: "3.41", spread: "1.004", unit_noise: "-0.97", noise_term: "-0.974", label: "2", seconds_spent: "36", effort_noise: "0.67", submitted_at: new Date("2026-01-28T18:53:06Z") },
            { task_id: 17, annotator_id: 9, expected_score: "6.79", spread: "0.428", unit_noise: "0.86", noise_term: "0.368", label: "7", seconds_spent: "13", effort_noise: "1.11", submitted_at: new Date("2026-01-28T13:23:45Z") },
            { task_id: 90, annotator_id: 9, expected_score: "6.60", spread: "0.669", unit_noise: "0.35", noise_term: "0.234", label: "7", seconds_spent: "8", effort_noise: "0.70", submitted_at: new Date("2026-02-15T15:21:33Z") },
            { task_id: 119, annotator_id: 10, expected_score: "6.85", spread: "0.555", unit_noise: "0.26", noise_term: "0.144", label: "7", seconds_spent: "64", effort_noise: "1.60", submitted_at: new Date("2026-02-04T13:44:02Z") },
            { task_id: 27, annotator_id: 14, expected_score: "5.24", spread: "0.673", unit_noise: "0.58", noise_term: "0.390", label: "6", seconds_spent: "38", effort_noise: "0.53", submitted_at: new Date("2026-01-28T18:22:12Z") },
            { task_id: 106, annotator_id: 6, expected_score: "6.60", spread: "0.324", unit_noise: "0.03", noise_term: "0.010", label: "7", seconds_spent: "100", effort_noise: "1.70", submitted_at: new Date("2026-01-27T09:22:36Z") },
            { task_id: 77, annotator_id: 6, expected_score: "4.39", spread: "0.510", unit_noise: "0.38", noise_term: "0.194", label: "5", seconds_spent: "46", effort_noise: "0.78", submitted_at: new Date("2026-01-15T19:51:33Z") },
            { task_id: 73, annotator_id: 14, expected_score: "5.44", spread: "1.054", unit_noise: "-0.47", noise_term: "-0.495", label: "5", seconds_spent: "101", effort_noise: "1.40", submitted_at: new Date("2026-02-20T11:07:09Z") },
            { task_id: 20, annotator_id: 13, expected_score: "5.19", spread: "0.638", unit_noise: "0.83", noise_term: "0.530", label: "6", seconds_spent: "7", effort_noise: "0.58", submitted_at: new Date("2026-01-30T10:29:29Z") },
            { task_id: 14, annotator_id: 13, expected_score: "3.25", spread: "1.177", unit_noise: "-0.33", noise_term: "-0.388", label: "3", seconds_spent: "12", effort_noise: "0.96", submitted_at: new Date("2026-02-09T10:43:26Z") },
            { task_id: 50, annotator_id: 1, expected_score: "3.19", spread: "0.595", unit_noise: "0.40", noise_term: "0.238", label: "3", seconds_spent: "12", effort_noise: "0.62", submitted_at: new Date("2026-02-21T12:45:10Z") },
            { task_id: 54, annotator_id: 10, expected_score: "7.97", spread: "0.501", unit_noise: "0.90", noise_term: "0.451", label: "8", seconds_spent: "26", effort_noise: "0.64", submitted_at: new Date("2026-02-20T11:40:07Z") },
            { task_id: 71, annotator_id: 11, expected_score: "7.35", spread: "1.206", unit_noise: "0.59", noise_term: "0.712", label: "8", seconds_spent: "16", effort_noise: "1.13", submitted_at: new Date("2026-02-09T18:24:01Z") },
            { task_id: 53, annotator_id: 11, expected_score: "6.62", spread: "1.227", unit_noise: "-0.57", noise_term: "-0.699", label: "6", seconds_spent: "7", effort_noise: "0.52", submitted_at: new Date("2026-03-02T17:26:12Z") },
            { task_id: 7, annotator_id: 7, expected_score: "3.89", spread: "1.331", unit_noise: "0.97", noise_term: "1.291", label: "5", seconds_spent: "39", effort_noise: "0.73", submitted_at: new Date("2026-02-10T13:22:51Z") },
            { task_id: 19, annotator_id: 3, expected_score: "5.53", spread: "0.701", unit_noise: "-0.21", noise_term: "-0.147", label: "5", seconds_spent: "41", effort_noise: "0.53", submitted_at: new Date("2026-02-07T14:47:15Z") },
            { task_id: 40, annotator_id: 8, expected_score: "5.44", spread: "0.935", unit_noise: "-0.83", noise_term: "-0.776", label: "5", seconds_spent: "6", effort_noise: "0.50", submitted_at: new Date("2026-02-09T12:35:13Z") },
            { task_id: 63, annotator_id: 1, expected_score: "5.20", spread: "0.986", unit_noise: "-0.11", noise_term: "-0.108", label: "5", seconds_spent: "29", effort_noise: "1.52", submitted_at: new Date("2026-02-21T20:37:48Z") },
            { task_id: 85, annotator_id: 12, expected_score: "7.36", spread: "0.650", unit_noise: "-0.83", noise_term: "-0.539", label: "7", seconds_spent: "37", effort_noise: "0.57", submitted_at: new Date("2026-01-22T08:39:39Z") },
            { task_id: 102, annotator_id: 4, expected_score: "7.49", spread: "0.314", unit_noise: "-0.95", noise_term: "-0.298", label: "7", seconds_spent: "39", effort_noise: "1.02", submitted_at: new Date("2026-02-22T10:03:42Z") },
            { task_id: 100, annotator_id: 14, expected_score: "5.36", spread: "0.622", unit_noise: "0.98", noise_term: "0.610", label: "6", seconds_spent: "125", effort_noise: "1.73", submitted_at: new Date("2026-02-16T15:25:16Z") },
            { task_id: 44, annotator_id: 4, expected_score: "3.52", spread: "0.589", unit_noise: "-0.54", noise_term: "-0.318", label: "3", seconds_spent: "52", effort_noise: "1.37", submitted_at: new Date("2026-01-26T14:05:11Z") },
            { task_id: 38, annotator_id: 6, expected_score: "5.94", spread: "0.624", unit_noise: "0.39", noise_term: "0.243", label: "6", seconds_spent: "58", effort_noise: "0.98", submitted_at: new Date("2026-01-20T13:21:32Z") },
            { task_id: 37, annotator_id: 9, expected_score: "3.74", spread: "0.297", unit_noise: "0.88", noise_term: "0.261", label: "4", seconds_spent: "10", effort_noise: "0.80", submitted_at: new Date("2026-02-13T09:36:00Z") },
            { task_id: 57, annotator_id: 12, expected_score: "4.75", spread: "0.689", unit_noise: "-0.78", noise_term: "-0.537", label: "4", seconds_spent: "88", effort_noise: "1.36", submitted_at: new Date("2026-02-11T09:43:35Z") },
            { task_id: 112, annotator_id: 6, expected_score: "5.59", spread: "0.616", unit_noise: "0.40", noise_term: "0.246", label: "6", seconds_spent: "31", effort_noise: "0.52", submitted_at: new Date("2026-02-01T06:25:15Z") },
            { task_id: 34, annotator_id: 6, expected_score: "5.90", spread: "0.381", unit_noise: "0.82", noise_term: "0.312", label: "6", seconds_spent: "93", effort_noise: "1.58", submitted_at: new Date("2026-01-30T16:58:09Z") },
            { task_id: 98, annotator_id: 1, expected_score: "5.31", spread: "0.921", unit_noise: "-0.72", noise_term: "-0.663", label: "5", seconds_spent: "10", effort_noise: "0.50", submitted_at: new Date("2026-02-19T05:14:24Z") },
            { task_id: 3, annotator_id: 4, expected_score: "3.48", spread: "0.358", unit_noise: "-0.90", noise_term: "-0.322", label: "3", seconds_spent: "35", effort_noise: "0.91", submitted_at: new Date("2026-03-01T17:34:05Z") },
            { task_id: 94, annotator_id: 7, expected_score: "6.20", spread: "0.593", unit_noise: "-0.78", noise_term: "-0.463", label: "6", seconds_spent: "86", effort_noise: "1.63", submitted_at: new Date("2026-01-19T17:54:46Z") },
            { task_id: 20, annotator_id: 6, expected_score: "5.34", spread: "0.470", unit_noise: "-0.10", noise_term: "-0.047", label: "5", seconds_spent: "32", effort_noise: "0.54", submitted_at: new Date("2026-02-06T14:02:04Z") },
            { task_id: 9, annotator_id: 10, expected_score: "5.82", spread: "0.710", unit_noise: "-0.51", noise_term: "-0.362", label: "5", seconds_spent: "33", effort_noise: "0.83", submitted_at: new Date("2026-02-03T14:05:03Z") },
            { task_id: 60, annotator_id: 4, expected_score: "4.61", spread: "0.634", unit_noise: "0.45", noise_term: "0.285", label: "5", seconds_spent: "22", effort_noise: "0.57", submitted_at: new Date("2026-02-17T14:24:37Z") },
            { task_id: 67, annotator_id: 10, expected_score: "8.03", spread: "0.410", unit_noise: "0.16", noise_term: "0.066", label: "8", seconds_spent: "26", effort_noise: "0.65", submitted_at: new Date("2026-02-28T10:35:16Z") },
            { task_id: 7, annotator_id: 4, expected_score: "3.29", spread: "0.704", unit_noise: "-0.31", noise_term: "-0.218", label: "3", seconds_spent: "20", effort_noise: "0.52", submitted_at: new Date("2026-02-11T16:51:49Z") },
            { task_id: 111, annotator_id: 2, expected_score: "6.50", spread: "1.583", unit_noise: "0.72", noise_term: "1.140", label: "8", seconds_spent: "109", effort_noise: "1.21", submitted_at: new Date("2026-02-16T15:07:25Z") },
            { task_id: 26, annotator_id: 14, expected_score: "5.20", spread: "0.724", unit_noise: "-0.83", noise_term: "-0.601", label: "5", seconds_spent: "94", effort_noise: "1.31", submitted_at: new Date("2026-01-21T11:04:07Z") },
            { task_id: 44, annotator_id: 7, expected_score: "4.12", spread: "1.113", unit_noise: "0.23", noise_term: "0.256", label: "4", seconds_spent: "48", effort_noise: "0.90", submitted_at: new Date("2026-01-16T17:41:25Z") },
            { task_id: 46, annotator_id: 12, expected_score: "7.56", spread: "0.605", unit_noise: "0.37", noise_term: "0.224", label: "8", seconds_spent: "112", effort_noise: "1.72", submitted_at: new Date("2026-02-07T18:51:05Z") },
            { task_id: 46, annotator_id: 6, expected_score: "7.51", spread: "0.753", unit_noise: "0.41", noise_term: "0.309", label: "8", seconds_spent: "70", effort_noise: "1.19", submitted_at: new Date("2026-02-01T14:20:49Z") },
            { task_id: 59, annotator_id: 5, expected_score: "6.16", spread: "0.716", unit_noise: "0.76", noise_term: "0.544", label: "7", seconds_spent: "21", effort_noise: "0.51", submitted_at: new Date("2026-02-01T15:01:05Z") },
            { task_id: 62, annotator_id: 3, expected_score: "6.25", spread: "0.470", unit_noise: "0.48", noise_term: "0.226", label: "6", seconds_spent: "51", effort_noise: "0.66", submitted_at: new Date("2026-03-01T09:12:08Z") },
            { task_id: 79, annotator_id: 3, expected_score: "8.17", spread: "0.370", unit_noise: "-0.75", noise_term: "-0.277", label: "8", seconds_spent: "39", effort_noise: "0.50", submitted_at: new Date("2026-02-12T15:32:27Z") },
            { task_id: 106, annotator_id: 14, expected_score: "7.23", spread: "0.508", unit_noise: "0.24", noise_term: "0.122", label: "7", seconds_spent: "38", effort_noise: "0.53", submitted_at: new Date("2026-02-03T15:14:31Z") },
            { task_id: 77, annotator_id: 3, expected_score: "5.01", spread: "0.485", unit_noise: "-0.90", noise_term: "-0.436", label: "5", seconds_spent: "58", effort_noise: "0.75", submitted_at: new Date("2026-01-26T11:53:28Z") },
            { task_id: 22, annotator_id: 8, expected_score: "7.10", spread: "0.722", unit_noise: "0.80", noise_term: "0.578", label: "8", seconds_spent: "7", effort_noise: "0.58", submitted_at: new Date("2026-02-11T20:02:58Z") },
            { task_id: 13, annotator_id: 1, expected_score: "3.34", spread: "0.772", unit_noise: "0.49", noise_term: "0.378", label: "4", seconds_spent: "10", effort_noise: "0.50", submitted_at: new Date("2026-02-24T09:19:29Z") },
            { task_id: 105, annotator_id: 2, expected_score: "6.88", spread: "1.303", unit_noise: "0.62", noise_term: "0.808", label: "8", seconds_spent: "158", effort_noise: "1.76", submitted_at: new Date("2026-01-21T14:30:57Z") },
            { task_id: 9, annotator_id: 11, expected_score: "5.79", spread: "0.811", unit_noise: "-0.81", noise_term: "-0.657", label: "5", seconds_spent: "13", effort_noise: "0.93", submitted_at: new Date("2026-01-29T08:08:08Z") },
            { task_id: 40, annotator_id: 3, expected_score: "6.15", spread: "0.878", unit_noise: "0.32", noise_term: "0.281", label: "6", seconds_spent: "78", effort_noise: "1.01", submitted_at: new Date("2026-02-11T14:52:42Z") },
            { task_id: 60, annotator_id: 10, expected_score: "5.27", spread: "0.901", unit_noise: "0.95", noise_term: "0.856", label: "6", seconds_spent: "27", effort_noise: "0.68", submitted_at: new Date("2026-02-15T11:38:50Z") },
            { task_id: 64, annotator_id: 13, expected_score: "2.89", spread: "0.462", unit_noise: "-0.43", noise_term: "-0.199", label: "3", seconds_spent: "18", effort_noise: "1.51", submitted_at: new Date("2026-01-31T16:12:13Z") },
            { task_id: 2, annotator_id: 7, expected_score: "6.81", spread: "0.883", unit_noise: "-0.53", noise_term: "-0.468", label: "6", seconds_spent: "80", effort_noise: "1.50", submitted_at: new Date("2026-02-18T14:53:12Z") },
            { task_id: 92, annotator_id: 4, expected_score: "7.60", spread: "0.314", unit_noise: "0.78", noise_term: "0.245", label: "8", seconds_spent: "37", effort_noise: "0.97", submitted_at: new Date("2026-01-20T12:28:27Z") },
            { task_id: 12, annotator_id: 11, expected_score: "4.14", spread: "0.801", unit_noise: "-0.56", noise_term: "-0.449", label: "4", seconds_spent: "11", effort_noise: "0.75", submitted_at: new Date("2026-02-06T14:38:34Z") },
            { task_id: 118, annotator_id: 3, expected_score: "7.91", spread: "0.231", unit_noise: "0.61", noise_term: "0.141", label: "8", seconds_spent: "56", effort_noise: "0.73", submitted_at: new Date("2026-02-26T16:52:25Z") },
            { task_id: 51, annotator_id: 13, expected_score: "6.74", spread: "1.298", unit_noise: "-0.29", noise_term: "-0.376", label: "6", seconds_spent: "17", effort_noise: "1.45", submitted_at: new Date("2026-01-25T13:32:11Z") },
            { task_id: 116, annotator_id: 11, expected_score: "5.15", spread: "0.593", unit_noise: "0.09", noise_term: "0.053", label: "5", seconds_spent: "13", effort_noise: "0.93", submitted_at: new Date("2026-01-20T09:25:50Z") },
            { task_id: 89, annotator_id: 8, expected_score: "7.50", spread: "0.804", unit_noise: "-0.02", noise_term: "-0.016", label: "7", seconds_spent: "6", effort_noise: "0.50", submitted_at: new Date("2026-01-20T11:49:24Z") },
            { task_id: 42, annotator_id: 14, expected_score: "3.75", spread: "1.029", unit_noise: "0.53", noise_term: "0.545", label: "4", seconds_spent: "41", effort_noise: "0.57", submitted_at: new Date("2026-02-17T12:11:43Z") },
            { task_id: 71, annotator_id: 9, expected_score: "7.04", spread: "0.800", unit_noise: "0.64", noise_term: "0.512", label: "8", seconds_spent: "6", effort_noise: "0.52", submitted_at: new Date("2026-02-14T08:39:02Z") },
            { task_id: 103, annotator_id: 10, expected_score: "4.49", spread: "0.346", unit_noise: "0.27", noise_term: "0.093", label: "5", seconds_spent: "23", effort_noise: "0.58", submitted_at: new Date("2026-02-20T14:36:51Z") },
            { task_id: 72, annotator_id: 4, expected_score: "5.41", spread: "0.454", unit_noise: "0.40", noise_term: "0.182", label: "6", seconds_spent: "19", effort_noise: "0.50", submitted_at: new Date("2026-02-20T09:01:01Z") },
            { task_id: 13, annotator_id: 9, expected_score: "3.76", spread: "0.573", unit_noise: "0.53", noise_term: "0.304", label: "4", seconds_spent: "7", effort_noise: "0.58", submitted_at: new Date("2026-02-17T11:01:22Z") },
            { task_id: 1, annotator_id: 3, expected_score: "3.85", spread: "0.400", unit_noise: "-0.67", noise_term: "-0.268", label: "4", seconds_spent: "45", effort_noise: "0.59", submitted_at: new Date("2026-02-09T14:07:59Z") },
            { task_id: 116, annotator_id: 10, expected_score: "5.18", spread: "0.519", unit_noise: "0.64", noise_term: "0.332", label: "6", seconds_spent: "24", effort_noise: "0.60", submitted_at: new Date("2026-01-19T17:19:02Z") },
            { task_id: 117, annotator_id: 1, expected_score: "4.29", spread: "0.288", unit_noise: "-0.29", noise_term: "-0.084", label: "4", seconds_spent: "24", effort_noise: "1.27", submitted_at: new Date("2026-02-14T15:22:56Z") },
            { task_id: 5, annotator_id: 8, expected_score: "4.26", spread: "0.861", unit_noise: "0.28", noise_term: "0.241", label: "5", seconds_spent: "19", effort_noise: "1.60", submitted_at: new Date("2026-01-19T13:49:43Z") },
            { task_id: 80, annotator_id: 1, expected_score: "3.60", spread: "1.042", unit_noise: "0.27", noise_term: "0.281", label: "4", seconds_spent: "17", effort_noise: "0.89", submitted_at: new Date("2026-03-01T15:04:11Z") },
            { task_id: 97, annotator_id: 5, expected_score: "3.27", spread: "0.924", unit_noise: "-0.59", noise_term: "-0.545", label: "3", seconds_spent: "44", effort_noise: "1.05", submitted_at: new Date("2026-02-15T23:09:24Z") },
            { task_id: 105, annotator_id: 6, expected_score: "6.50", spread: "0.794", unit_noise: "0.36", noise_term: "0.286", label: "7", seconds_spent: "35", effort_noise: "0.60", submitted_at: new Date("2026-02-01T15:49:05Z") },
            { task_id: 69, annotator_id: 2, expected_score: "6.06", spread: "0.479", unit_noise: "0.70", noise_term: "0.335", label: "6", seconds_spent: "140", effort_noise: "1.56", submitted_at: new Date("2026-02-19T14:19:56Z") },
            { task_id: 69, annotator_id: 6, expected_score: "5.68", spread: "0.292", unit_noise: "0.60", noise_term: "0.175", label: "6", seconds_spent: "47", effort_noise: "0.80", submitted_at: new Date("2026-02-20T11:21:09Z") },
            { task_id: 110, annotator_id: 1, expected_score: "4.95", spread: "0.465", unit_noise: "0.12", noise_term: "0.056", label: "5", seconds_spent: "18", effort_noise: "0.94", submitted_at: new Date("2026-02-24T12:19:37Z") },
            { task_id: 35, annotator_id: 5, expected_score: "6.27", spread: "0.585", unit_noise: "0.95", noise_term: "0.556", label: "7", seconds_spent: "47", effort_noise: "1.12", submitted_at: new Date("2026-02-26T12:36:42Z") },
            { task_id: 45, annotator_id: 6, expected_score: "6.73", spread: "0.405", unit_noise: "0.88", noise_term: "0.356", label: "7", seconds_spent: "97", effort_noise: "1.65", submitted_at: new Date("2026-01-13T12:22:27Z") },
            { task_id: 68, annotator_id: 12, expected_score: "3.97", spread: "0.631", unit_noise: "-0.58", noise_term: "-0.366", label: "4", seconds_spent: "111", effort_noise: "1.70", submitted_at: new Date("2026-02-06T14:29:00Z") },
            { task_id: 98, annotator_id: 13, expected_score: "5.38", spread: "1.089", unit_noise: "0.97", noise_term: "1.056", label: "6", seconds_spent: "19", effort_noise: "1.55", submitted_at: new Date("2026-02-20T10:15:24Z") },
            { task_id: 119, annotator_id: 11, expected_score: "6.82", spread: "0.634", unit_noise: "-0.26", noise_term: "-0.165", label: "7", seconds_spent: "20", effort_noise: "1.42", submitted_at: new Date("2026-01-30T15:26:48Z") },
            { task_id: 87, annotator_id: 2, expected_score: "4.17", spread: "0.612", unit_noise: "0.59", noise_term: "0.361", label: "5", seconds_spent: "64", effort_noise: "0.71", submitted_at: new Date("2026-02-06T09:25:03Z") },
            { task_id: 59, annotator_id: 9, expected_score: "5.93", spread: "0.642", unit_noise: "0.59", noise_term: "0.379", label: "6", seconds_spent: "21", effort_noise: "1.75", submitted_at: new Date("2026-01-22T19:37:33Z") },
            { task_id: 99, annotator_id: 3, expected_score: "5.04", spread: "0.393", unit_noise: "-0.06", noise_term: "-0.024", label: "5", seconds_spent: "39", effort_noise: "0.51", submitted_at: new Date("2026-01-22T09:46:53Z") },
            { task_id: 23, annotator_id: 2, expected_score: "6.01", spread: "0.851", unit_noise: "0.59", noise_term: "0.502", label: "7", seconds_spent: "156", effort_noise: "1.73", submitted_at: new Date("2026-02-12T12:46:35Z") },
            { task_id: 94, annotator_id: 12, expected_score: "5.77", spread: "0.319", unit_noise: "0.98", noise_term: "0.313", label: "6", seconds_spent: "71", effort_noise: "1.09", submitted_at: new Date("2026-01-30T14:53:22Z") },
            { task_id: 113, annotator_id: 2, expected_score: "3.92", spread: "1.490", unit_noise: "-0.71", noise_term: "-1.058", label: "3", seconds_spent: "152", effort_noise: "1.69", submitted_at: new Date("2026-02-24T08:03:40Z") },
            { task_id: 56, annotator_id: 1, expected_score: "6.73", spread: "0.753", unit_noise: "0.92", noise_term: "0.693", label: "7", seconds_spent: "10", effort_noise: "0.50", submitted_at: new Date("2026-01-31T10:17:56Z") },
            { task_id: 99, annotator_id: 5, expected_score: "4.85", spread: "0.393", unit_noise: "-0.06", noise_term: "-0.024", label: "5", seconds_spent: "33", effort_noise: "0.78", submitted_at: new Date("2026-01-15T08:35:48Z") },
            { task_id: 43, annotator_id: 9, expected_score: "6.28", spread: "0.656", unit_noise: "-0.42", noise_term: "-0.276", label: "6", seconds_spent: "18", effort_noise: "1.53", submitted_at: new Date("2026-02-14T15:38:09Z") },
            { task_id: 57, annotator_id: 8, expected_score: "4.61", spread: "0.869", unit_noise: "-0.76", noise_term: "-0.660", label: "4", seconds_spent: "8", effort_noise: "0.63", submitted_at: new Date("2026-02-20T12:33:16Z") },
            { task_id: 49, annotator_id: 11, expected_score: "7.67", spread: "0.468", unit_noise: "-0.35", noise_term: "-0.164", label: "8", seconds_spent: "19", effort_noise: "1.39", submitted_at: new Date("2026-02-05T09:34:17Z") },
            { task_id: 11, annotator_id: 13, expected_score: "7.17", spread: "0.858", unit_noise: "-0.64", noise_term: "-0.549", label: "7", seconds_spent: "6", effort_noise: "0.51", submitted_at: new Date("2026-02-19T09:41:00Z") },
            { task_id: 111, annotator_id: 10, expected_score: "6.66", spread: "1.083", unit_noise: "0.28", noise_term: "0.303", label: "7", seconds_spent: "64", effort_noise: "1.60", submitted_at: new Date("2026-02-05T10:14:37Z") },
            { task_id: 19, annotator_id: 6, expected_score: "4.91", spread: "0.737", unit_noise: "-0.69", noise_term: "-0.509", label: "4", seconds_spent: "83", effort_noise: "1.41", submitted_at: new Date("2026-02-08T14:59:11Z") },
            { task_id: 39, annotator_id: 13, expected_score: "5.22", spread: "0.517", unit_noise: "-0.55", noise_term: "-0.284", label: "5", seconds_spent: "7", effort_noise: "0.55", submitted_at: new Date("2026-02-11T19:43:56Z") },
            { task_id: 71, annotator_id: 8, expected_score: "6.75", spread: "0.951", unit_noise: "0.09", noise_term: "0.086", label: "7", seconds_spent: "10", effort_noise: "0.83", submitted_at: new Date("2026-02-09T07:30:42Z") },
            { task_id: 48, annotator_id: 2, expected_score: "4.25", spread: "0.625", unit_noise: "-0.61", noise_term: "-0.381", label: "4", seconds_spent: "95", effort_noise: "1.06", submitted_at: new Date("2026-02-07T11:02:04Z") },
            { task_id: 90, annotator_id: 2, expected_score: "6.78", spread: "1.290", unit_noise: "0.81", noise_term: "1.045", label: "8", seconds_spent: "86", effort_noise: "0.96", submitted_at: new Date("2026-02-23T13:40:55Z") },
            { task_id: 24, annotator_id: 11, expected_score: "3.62", spread: "1.134", unit_noise: "0.55", noise_term: "0.624", label: "4", seconds_spent: "17", effort_noise: "1.19", submitted_at: new Date("2026-02-08T14:33:26Z") },
            { task_id: 103, annotator_id: 9, expected_score: "4.15", spread: "0.262", unit_noise: "-0.84", noise_term: "-0.220", label: "4", seconds_spent: "12", effort_noise: "0.99", submitted_at: new Date("2026-02-13T11:59:37Z") },
            { task_id: 25, annotator_id: 6, expected_score: "4.61", spread: "0.267", unit_noise: "1.00", noise_term: "0.267", label: "5", seconds_spent: "30", effort_noise: "0.50", submitted_at: new Date("2026-02-14T12:13:27Z") },
            { task_id: 42, annotator_id: 10, expected_score: "3.66", spread: "0.737", unit_noise: "-0.20", noise_term: "-0.147", label: "4", seconds_spent: "48", effort_noise: "1.20", submitted_at: new Date("2026-02-10T13:34:02Z") },
            { task_id: 68, annotator_id: 1, expected_score: "3.70", spread: "0.902", unit_noise: "0.08", noise_term: "0.072", label: "4", seconds_spent: "13", effort_noise: "0.67", submitted_at: new Date("2026-02-02T13:34:53Z") },
            { task_id: 83, annotator_id: 8, expected_score: "4.05", spread: "0.918", unit_noise: "0.13", noise_term: "0.119", label: "4", seconds_spent: "13", effort_noise: "1.06", submitted_at: new Date("2026-01-21T09:50:47Z") },
            { task_id: 15, annotator_id: 7, expected_score: "6.99", spread: "1.004", unit_noise: "-0.09", noise_term: "-0.090", label: "7", seconds_spent: "67", effort_noise: "1.26", submitted_at: new Date("2026-01-21T21:41:08Z") },
            { task_id: 73, annotator_id: 8, expected_score: "4.72", spread: "0.681", unit_noise: "-0.29", noise_term: "-0.197", label: "5", seconds_spent: "12", effort_noise: "0.99", submitted_at: new Date("2026-03-02T11:13:21Z") },
            { task_id: 36, annotator_id: 2, expected_score: "3.31", spread: "1.104", unit_noise: "0.40", noise_term: "0.442", label: "4", seconds_spent: "48", effort_noise: "0.53", submitted_at: new Date("2026-02-02T13:01:35Z") },
            { task_id: 88, annotator_id: 4, expected_score: "6.34", spread: "0.269", unit_noise: "-0.76", noise_term: "-0.204", label: "6", seconds_spent: "63", effort_noise: "1.66", submitted_at: new Date("2026-01-17T11:52:57Z") },
            { task_id: 118, annotator_id: 11, expected_score: "7.80", spread: "0.312", unit_noise: "0.86", noise_term: "0.268", label: "8", seconds_spent: "14", effort_noise: "1.00", submitted_at: new Date("2026-02-22T10:41:17Z") },
            { task_id: 35, annotator_id: 11, expected_score: "6.35", spread: "0.790", unit_noise: "0.55", noise_term: "0.435", label: "7", seconds_spent: "15", effort_noise: "1.08", submitted_at: new Date("2026-02-23T14:30:24Z") },
            { task_id: 120, annotator_id: 3, expected_score: "7.84", spread: "0.809", unit_noise: "-0.02", noise_term: "-0.016", label: "8", seconds_spent: "55", effort_noise: "0.71", submitted_at: new Date("2026-02-11T12:10:44Z") },
            { task_id: 61, annotator_id: 6, expected_score: "2.84", spread: "0.275", unit_noise: "-0.31", noise_term: "-0.085", label: "3", seconds_spent: "55", effort_noise: "0.93", submitted_at: new Date("2026-02-21T17:53:17Z") },
            { task_id: 6, annotator_id: 14, expected_score: "5.27", spread: "0.851", unit_noise: "-0.47", noise_term: "-0.400", label: "5", seconds_spent: "67", effort_noise: "0.93", submitted_at: new Date("2026-01-25T11:19:17Z") },
            { task_id: 39, annotator_id: 14, expected_score: "6.00", spread: "0.597", unit_noise: "-0.11", noise_term: "-0.066", label: "6", seconds_spent: "61", effort_noise: "0.85", submitted_at: new Date("2026-02-21T11:03:48Z") },
        ],
    });
}

main()
    .then(() => prisma.$disconnect())
    .catch(async error => {
        console.error(error);
        await prisma.$disconnect();
        process.exit(1);
    });