ms-ai-architect/scripts/kb-eval/data
Kjell Tore Guttormsen 4cd290c14b feat(ms-ai-architect): S1 v2 targeted iteration — GATE PASS (recall 84.2%, precision 84.2%) [skip-docs]
Operatørvalg (c): én målrettet, prinsipiell prompt-iterasjon på den diagnostiserte
grounded-men-feil-feilmoden (eksakt-verdi-entailment). Terskel uendret; v1 frosset.

Full blind v2 fan-out (15 batcher Opus 4.8 xhigh, 255 P-påstander dekket):
- judge v2: recall 84.2% (32/38, PASS >=0.80, Wilson [69.6-92.6%]), presisjon 84.2%
  (PASS >=0.70), F1 0.842, slår staleness 0/38.
- Fiksen løste målet: sku recall 37.5%->75.0%, taxonomy 66.7%->100%.
- +6 ekte fangster (26->32) uten netto nye FP (6->6) => recall OG presisjon opp.

Forbehold (ærlig): andre måling på samme frosne sett etter v1 (erkjent); Wilson nedre
grense 69.6% < 0.80 ved n=38; én iterasjon. Gate-logikk => vei mot S3. Stoppet for
operatør-beslutning (S2/S3), eskalerer ikke selv.

run-judge-bakeoff.mjs: --results/--report-prefix flagg (v2 uten å klobbe v1). Suite 552/552.
2026-06-26 21:23:50 +02:00
..
fase0-returns feat(ms-ai-architect): Fase 0 steg 2 — verifiserings-fan-out (373 påstander) + gull-sett m/ deterministisk lastmod-join + TDD [skip-docs] 2026-06-26 15:16:10 +02:00
base-rate-report.json feat(ms-ai-architect): Fase 0 steg 3 — base-rate-rapport + GATE: BYGG Fase 3 (scoped/hybrid) [skip-docs] 2026-06-26 17:15:54 +02:00
base-rate-report.md feat(ms-ai-architect): Fase 0 steg 3 — base-rate-rapport + GATE: BYGG Fase 3 (scoped/hybrid) [skip-docs] 2026-06-26 17:15:54 +02:00
eval-baseline.json feat(ms-ai-architect): Sesjon 15 — B2 K10 søsken-scope-ikke-overlapp 2026-06-20 11:59:59 +02:00
fase0-sample-frame.json feat(ms-ai-architect): Fase 0 steg 1 — deterministisk sample-frame (45 volatil + 10 kontroll) + TDD [skip-docs] 2026-06-26 14:18:53 +02:00
gold-correctness-set.json feat(ms-ai-architect): Fase 0 steg 2 — verifiserings-fan-out (373 påstander) + gull-sett m/ deterministisk lastmod-join + TDD [skip-docs] 2026-06-26 15:16:10 +02:00
judge-bakeoff-claims.json feat(ms-ai-architect): S1 judge bake-off harness + forhåndsregistrert gate (TDD) [skip-docs] 2026-06-26 20:10:58 +02:00
judge-bakeoff-report-v2.json feat(ms-ai-architect): S1 v2 targeted iteration — GATE PASS (recall 84.2%, precision 84.2%) [skip-docs] 2026-06-26 21:23:50 +02:00
judge-bakeoff-report-v2.md feat(ms-ai-architect): S1 v2 targeted iteration — GATE PASS (recall 84.2%, precision 84.2%) [skip-docs] 2026-06-26 21:23:50 +02:00
judge-bakeoff-report.json feat(ms-ai-architect): S1 judge bake-off RESULT — GATE FAIL (recall 68.4% < 80%) [skip-docs] 2026-06-26 20:45:09 +02:00
judge-bakeoff-report.md feat(ms-ai-architect): S1 judge bake-off RESULT — GATE FAIL (recall 68.4% < 80%) [skip-docs] 2026-06-26 20:45:09 +02:00
judge-bakeoff-results-v2.json feat(ms-ai-architect): S1 v2 targeted iteration — GATE PASS (recall 84.2%, precision 84.2%) [skip-docs] 2026-06-26 21:23:50 +02:00
judge-bakeoff-results.json feat(ms-ai-architect): S1 judge bake-off RESULT — GATE FAIL (recall 68.4% < 80%) [skip-docs] 2026-06-26 20:45:09 +02:00
judge-results.json feat(ms-ai-architect): Spor D steg A — eng+infra K10-fix → korpus-invariant ≥90 oppfylt 2026-06-23 17:56:43 +02:00
k1-trigger-prompts.json fix(ms-ai-architect): Sesjon 11 — K1 trigger-presisjon, blindet judge PASS alle 5 2026-06-20 10:00:47 +02:00