Recognises a review of a version other than the one released
The reviewed version differs from the version in the change log being released.
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 2 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 90% | Mastered |
| gemini-3.5-flash-lite | Low cost | 10% | Not shown |
| gpt-6-luna | Low cost | 91% | Mastered |
| claude-haiku-5-5 | Low cost | 90% | 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: A review of the version being released
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: model_version: "1.2.0"; change log releasing 1.3.0 Acceptable: Review of 1.3.0
Also known as: Version under review not the one released
Related knobits
Builds on
- K-915 Explains data model review and the Data Model Scorecard
- K-916 Explains data model versioning and change management
All 8 knobits of Review the data model against the scorecard.
Source: Review checklist 06-model-review, row 7 (DMBOK §6 (versioning))