Recognises a governance metric with no source
The number comes from somewhere nobody can name; it cannot be reproduced.
Can AI do this?
Not settled yet The benchmark tested this, but the models' answers do not settle yet whether they master it. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 56% | Not shown |
| gemini-3.5-flash-lite | Low cost | 52% | Not shown |
| gpt-6-luna | Low cost | 55% | Not shown |
| claude-haiku-5-5 | Low cost | 56% | Not shown |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: The metric and its source
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: GM-007 Median days to decide a governance issue, source: null Acceptable: source: "issue-log.yaml: decided_on - raised_on, decided issues in the period"
Also known as: Metric with no source
Related knobits
Builds on
All 21 knobits of Build the governance scorecard.
Source: Review checklist 06-scorecard, row 4 (DCAM; 25024)