Recognises a criterion mapped to the wrong item
items: names an item of a different knobit than the one the criterion observes.
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 | 89% | Not shown |
| gemini-3.5-flash-lite | Low cost | 40% | Not shown |
| gpt-6-luna | Low cost | 89% | Not shown |
| claude-haiku-5-5 | Low cost | 71% | 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 item of the knobit observed
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: C2 on survivorship with items: [RM-101], a matching item Acceptable: The survivorship item; items: [] only for format criteria
Also known as: Criterion mapped to the wrong item
Related knobits
Builds on
All 15 knobits of Write and review test items.
Source: Review checklist 02-test-items, row 5 (KST; Practice)