Recognises conflicting data standards
Two standards set different requirements for the same data. Compliance with one is a breach of the other.
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 | 67% | Not shown |
| gemini-3.5-flash-lite | Low cost | 34% | Not shown |
| gpt-6-luna | Low cost | 58% | Not shown |
| claude-haiku-5-5 | Low cost | 67% | 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 standard pair and the merge or the split of populations
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: ST-006 arrears completeness ≥ 99.5 %; ST-007 arrears complete for 100 % of active loans Acceptable: One standard, or two with populations that do not overlap
Also known as: Conflicting standards
Related knobits
Builds on
All 26 knobits of Write governance policies, standards and procedures.
Source: Review checklist 03-policies-standards, row 15 (DMBOK)