Recognises free text where a vocabulary is needed
An element ruled or filtered on, captured as free text.
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 | 51% | Not shown |
| gpt-6-luna | Low cost | 54% | Not shown |
| claude-haiku-5-5 | Low cost | 54% | 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 element and its controlled list
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: ME-004 document_type free text Acceptable: Controlled list per class
Also known as: Free text where a vocabulary is needed
Related knobits
Builds on
All 15 knobits of Define the content metadata schema.
Source: Review checklist 03-content-metadata, row 3 (23081-2; DC)