# Base-rate-rapport — Fase 0 (KB korrekthet)

_Generert deterministisk av `compute-base-rate.mjs` over `gold-correctness-set.json`. Tall fra testet `lib/base-rate.mjs` (15 tester). Ikke rediger for hånd — regenerer._

**Gull-sett:** 373 påstander · metode: se gold-correctness-set.json `_meta.method`

## Verdict-vokabular

- **correct** — en hentet learn.microsoft.com-side oppgir den påståtte verdien
- **outdated** — hentet kilde viser en annen, erstattet verdi (tidsdrift)
- **wrong** — hentet kilde motsier påstanden; den var aldri korrekt
- **unsourced** — ingen hentbar MS Learn-side oppgir verdien (kan ikke verifiseres)

«Reelle feil» = outdated + wrong. **unsourced er IKKE en feil** — det er den uverifiserbare massen (priser på JS-rendrede Azure-sider som en fetch-basert judge heller ikke når). Den verifiserbare feilraten ekskluderer derfor unsourced fra nevneren.

## Overall

| metrikk | verdi |
|---|---|
| Påstander totalt | 373 |
| correct / outdated / wrong / unsourced | 259 / 29 / 11 / 74 |
| Reelle feil (outdated+wrong) | 40 |
| Verifiserbare påstander (nevner) | 299 |
| **Verifiserbar feilrate** | **40/299 = 13.4%** |
| Wilson 95 % | [10.0%, 17.7%] |
| Unsourced-andel | 74/373 = 19.8% |
| Feil staleness-loopen fanger (lastmod_changed=true) | 0 |
| **Feil kun en korrekthets-judge fanger (judge-unique)** | **40** |

> **Gate-kritisk:** `errorsJudgeUnique` = reelle feil hvis siterte kilde-lastmod IKKE endret seg etter fildato — den eneste klassen en korrekthets-judge fanger som den eksisterende staleness-loopen bommer på. Staleness-recall på de reelle feilene = 0/40 = 0.0%.

## Per stratum

### Stratum

| key | n | correct | outdated | wrong | unsourced | err-rate (verifiable) | Wilson 95% | judge-unique |
|---|---|---|---|---|---|---|---|---|
| volatile | 331 | 222 | 28 | 10 | 71 | 38/260 = 14.6% | [10.8%, 19.4%] | 38 |
| control | 42 | 37 | 1 | 1 | 3 | 2/39 = 5.1% | [1.4%, 16.9%] | 2 |

## Per skill

### Skill

| key | n | correct | outdated | wrong | unsourced | err-rate (verifiable) | Wilson 95% | judge-unique |
|---|---|---|---|---|---|---|---|---|
| ms-ai-security | 96 | 65 | 7 | 1 | 23 | 8/73 = 11.0% | [5.7%, 20.2%] | 8 |
| ms-ai-engineering | 86 | 54 | 9 | 4 | 19 | 13/67 = 19.4% | [11.7%, 30.4%] | 13 |
| ms-ai-advisor | 79 | 59 | 7 | 2 | 11 | 9/68 = 13.2% | [7.1%, 23.3%] | 9 |
| ms-ai-governance | 76 | 52 | 5 | 2 | 17 | 7/59 = 11.9% | [5.9%, 22.5%] | 7 |
| ms-ai-infrastructure | 36 | 29 | 1 | 2 | 4 | 3/32 = 9.4% | [3.2%, 24.2%] | 3 |

## Per claim_type

### Claim type

| key | n | correct | outdated | wrong | unsourced | err-rate (verifiable) | Wilson 95% | judge-unique |
|---|---|---|---|---|---|---|---|---|
| taxonomy | 122 | 108 | 7 | 3 | 4 | 10/118 = 8.5% | [4.7%, 14.9%] | 10 |
| price | 76 | 20 | 0 | 0 | 56 | 0/20 = 0.0% | [0.0%, 16.1%] | 0 |
| status | 70 | 58 | 4 | 3 | 5 | 7/65 = 10.8% | [5.3%, 20.6%] | 7 |
| version | 33 | 24 | 6 | 2 | 1 | 8/32 = 25.0% | [13.3%, 42.1%] | 8 |
| tpm | 30 | 20 | 4 | 1 | 5 | 5/25 = 20.0% | [8.9%, 39.1%] | 5 |
| sku | 22 | 14 | 6 | 2 | 0 | 8/22 = 36.4% | [19.7%, 57.0%] | 8 |
| region | 20 | 15 | 2 | 0 | 3 | 2/17 = 11.8% | [3.3%, 34.3%] | 2 |