Recognises a model reviewed by its modeller
The reviewer named in the review is the modeller named in the plan.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 1 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 90% | Not shown |
| gemini-3.5-flash-lite | Low cost | 11% | 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: An independent reviewer
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: reviewer: "Mart K.", plan modeller: "Mart K." Acceptable: Reviewer from another team
Also known as: Reviewed by the modeller
Related knobits
Builds on
All 8 knobits of Review the data model against the scorecard.
Source: Review checklist 06-model-review, row 3 (DMBOK §6)