fix: compute z-context per-round in edition-mode rankings rollup

Previously the edition-level branch of analytics.getProjectRankings
(programId mode) pooled every juror's evaluations across every round
into a single z-normalization context. A juror's mean and stddev are
not stable across round types — quick intake screening produces a
very different grading profile than a deep evaluation round, and
mixing them yields a meaningless personal calibration.

The rollup now groups points by roundId, computes one balance context
per round, and aggregates per-project as the unweighted mean of the
per-round balanced averages. roundId mode is unchanged.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Matt
2026-04-27 13:14:30 +02:00
parent 7147115918
commit 97d1f2a3af
3 changed files with 180 additions and 6 deletions

View File

@@ -6,7 +6,13 @@ import { getProjectLogoUrl } from '../utils/project-logo-url'
import { aggregateVotes } from '../services/deliberation' import { aggregateVotes } from '../services/deliberation'
import { validateRoundConfig } from '@/types/competition-configs' import { validateRoundConfig } from '@/types/competition-configs'
import type { LiveFinalConfig } from '@/types/competition-configs' import type { LiveFinalConfig } from '@/types/competition-configs'
import { computeBalanceContext, computeBalancedProjectScores, type ScorePoint } from '../services/juror-balance' import {
computeBalanceContext,
computeBalancedProjectScores,
computePerRoundBalanced,
type ScorePoint,
type RoundScopedScorePoint,
} from '../services/juror-balance'
import { generateJurorCalibration } from '../services/ai-juror-calibration' import { generateJurorCalibration } from '../services/ai-juror-calibration'
const editionOrRoundInput = z.object({ const editionOrRoundInput = z.object({
@@ -213,24 +219,39 @@ export const analyticsRouter = router({
where: evalWhere(input, { status: 'SUBMITTED' }), where: evalWhere(input, { status: 'SUBMITTED' }),
select: { select: {
criterionScoresJson: true, criterionScoresJson: true,
assignment: { select: { userId: true, projectId: true } }, assignment: { select: { userId: true, projectId: true, roundId: true } },
}, },
}), }),
]) ])
// Extract a single eval-level score (mean of numeric criterion scores) per evaluation. // Extract a single eval-level score (mean of numeric criterion scores) per evaluation.
const points: ScorePoint[] = [] const rawPoints: RoundScopedScorePoint[] = []
for (const e of evaluations) { for (const e of evaluations) {
const scores = e.criterionScoresJson as Record<string, unknown> | null const scores = e.criterionScoresJson as Record<string, unknown> | null
if (!scores) continue if (!scores) continue
const vals = Object.values(scores).filter((s): s is number => typeof s === 'number') const vals = Object.values(scores).filter((s): s is number => typeof s === 'number')
if (vals.length === 0) continue if (vals.length === 0) continue
const rawScore = vals.reduce((a, b) => a + b, 0) / vals.length const rawScore = vals.reduce((a, b) => a + b, 0) / vals.length
points.push({ projectId: e.assignment.projectId, userId: e.assignment.userId, rawScore }) rawPoints.push({
projectId: e.assignment.projectId,
userId: e.assignment.userId,
roundId: e.assignment.roundId,
rawScore,
})
} }
const balanceCtx = computeBalanceContext(points) // roundId mode: single-round z-context (existing behavior).
const balancedByProject = computeBalancedProjectScores(points, balanceCtx) // programId mode: per-round z-contexts aggregated as the mean of per-round
// balanced averages — never pool z-contexts across rounds because a juror's
// grading profile differs by round type.
const balancedByProject: Map<string, { rawAverage: number | null; balancedAverage: number | null; count: number }> = (() => {
if (input.roundId) {
const flat: ScorePoint[] = rawPoints.map(({ projectId, userId, rawScore }) => ({ projectId, userId, rawScore }))
const ctx = computeBalanceContext(flat)
return computeBalancedProjectScores(flat, ctx)
}
return computePerRoundBalanced(rawPoints)
})()
const rankings = projects const rankings = projects
.map((project) => { .map((project) => {

View File

@@ -118,3 +118,71 @@ export function computeBalancedProjectScores(
return results return results
} }
/**
* Per-round balanced rollup: groups points by roundId, computes a balance
* context per round, then averages the per-round balanced averages for each
* project. Use when surfacing edition-level rankings — never pool z-contexts
* across rounds, because a juror's grading profile differs by round type.
*/
export type RoundScopedScorePoint = ScorePoint & { roundId: string }
export type EditionRollupResult = {
projectId: string
rawAverage: number | null
balancedAverage: number | null
count: number
roundCount: number
}
export function computePerRoundBalanced(
points: RoundScopedScorePoint[],
): Map<string, EditionRollupResult> {
const byRound = new Map<string, ScorePoint[]>()
for (const p of points) {
const arr = byRound.get(p.roundId) ?? []
arr.push({ projectId: p.projectId, userId: p.userId, rawScore: p.rawScore })
byRound.set(p.roundId, arr)
}
const perRoundResults: Array<Map<string, BalancedProjectResult>> = []
for (const roundPoints of byRound.values()) {
const ctx = computeBalanceContext(roundPoints)
perRoundResults.push(computeBalancedProjectScores(roundPoints, ctx))
}
const accumulator = new Map<
string,
{ rawSum: number; rawCount: number; balancedSum: number; balancedCount: number; count: number; roundCount: number }
>()
for (const roundMap of perRoundResults) {
for (const [projectId, result] of roundMap.entries()) {
const acc = accumulator.get(projectId) ?? {
rawSum: 0, rawCount: 0, balancedSum: 0, balancedCount: 0, count: 0, roundCount: 0,
}
if (result.rawAverage != null) {
acc.rawSum += result.rawAverage
acc.rawCount += 1
}
if (result.balancedAverage != null) {
acc.balancedSum += result.balancedAverage
acc.balancedCount += 1
}
acc.count += result.count
acc.roundCount += 1
accumulator.set(projectId, acc)
}
}
const out = new Map<string, EditionRollupResult>()
for (const [projectId, acc] of accumulator.entries()) {
out.set(projectId, {
projectId,
rawAverage: acc.rawCount > 0 ? acc.rawSum / acc.rawCount : null,
balancedAverage: acc.balancedCount > 0 ? acc.balancedSum / acc.balancedCount : null,
count: acc.count,
roundCount: acc.roundCount,
})
}
return out
}

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@@ -70,3 +70,88 @@ describe('analytics.getProjectDetail round scoping', () => {
expect(result.stats!.totalEvaluations).toBe(5) expect(result.stats!.totalEvaluations).toBe(5)
}) })
}) })
describe('analytics.getProjectRankings per-round z-context (edition mode)', () => {
let programId: string
let admin: { id: string; email: string; role: 'SUPER_ADMIN' }
let projectXId: string
let projectYId: string
const userIds: string[] = []
beforeAll(async () => {
const program = await createTestProgram({ name: `rank-edition-${uid()}` })
programId = program.id
const competition = await createTestCompetition(programId)
const roundA = await createTestRound(competition.id, { name: 'A', sortOrder: 0 })
const roundB = await createTestRound(competition.id, { name: 'B', sortOrder: 1 })
const formA = await createTestEvaluationForm(roundA.id, [
{ id: 'c1', label: 'X', scale: '1-10', weight: 1 },
])
const formB = await createTestEvaluationForm(roundB.id, [
{ id: 'c1', label: 'X', scale: '1-10', weight: 1 },
])
const projX = await createTestProject(programId, { title: 'X' })
const projY = await createTestProject(programId, { title: 'Y' })
projectXId = projX.id
projectYId = projY.id
await createTestProjectRoundState(projX.id, roundA.id)
await createTestProjectRoundState(projY.id, roundA.id)
await createTestProjectRoundState(projX.id, roundB.id)
await createTestProjectRoundState(projY.id, roundB.id)
const lenient = await createTestUser('JURY_MEMBER')
const harsh = await createTestUser('JURY_MEMBER')
userIds.push(lenient.id, harsh.id)
const writeEval = async (jurorId: string, projId: string, roundId: string, formId: string, c1: number) => {
const a = await createTestAssignment(jurorId, projId, roundId)
await prisma.evaluation.create({
data: {
assignmentId: a.id,
formId,
status: 'SUBMITTED',
submittedAt: new Date(),
criterionScoresJson: { c1 },
},
})
}
// Round A
await writeEval(lenient.id, projX.id, roundA.id, formA.id, 9)
await writeEval(lenient.id, projY.id, roundA.id, formA.id, 9)
await writeEval(harsh.id, projX.id, roundA.id, formA.id, 6)
await writeEval(harsh.id, projY.id, roundA.id, formA.id, 4)
// Round B (different scoring profile)
await writeEval(lenient.id, projX.id, roundB.id, formB.id, 8)
await writeEval(lenient.id, projY.id, roundB.id, formB.id, 8)
await writeEval(harsh.id, projX.id, roundB.id, formB.id, 7)
await writeEval(harsh.id, projY.id, roundB.id, formB.id, 5)
const adminUser = await createTestUser('SUPER_ADMIN')
userIds.push(adminUser.id)
admin = { id: adminUser.id, email: adminUser.email, role: 'SUPER_ADMIN' }
})
afterAll(async () => {
await cleanupTestData(programId, userIds)
})
it('aggregates per-project balanced score as the mean of per-round balanced averages', async () => {
const caller = createCaller(analyticsRouter, admin)
const result = await caller.getProjectRankings({ programId })
const x = result.find((p: { id: string }) => p.id === projectXId)!
const y = result.find((p: { id: string }) => p.id === projectYId)!
// Per-round balanced (computed by hand using the algorithm in juror-balance.ts):
// Round A overall mean=7, stddev=√4.5; lenient stddev=0 (fallback), harsh stddev=1
// X balanced ≈ 9.06, Y balanced ≈ 6.94
// Round B overall mean=7, stddev=√1.5; lenient stddev=0 (fallback), harsh stddev=1
// X balanced ≈ 8.11, Y balanced ≈ 6.89
// Edition rollup = mean of per-round balanced averages:
// X ≈ 8.59, Y ≈ 6.91
expect(x.balancedScore!).toBeCloseTo(8.59, 1)
expect(y.balancedScore!).toBeCloseTo(6.91, 1)
// Crucially, X must rank above Y after the per-round correction.
expect(x.balancedScore!).toBeGreaterThan(y.balancedScore!)
})
})