ms-ai-architect/scripts/kb-eval/data/judge-bakeoff-report-v2.json
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

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{
"_meta": {
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"thresholds": {
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"minPrecision": 0.7
},
"judged": 255
},
"population": {
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},
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},
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"thresholds": {
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},
"reasons": [
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]
}
}