Recognises a catalogue classification disagreeing with data-security
A level different from the classified column it cites, or set in the catalogue with no source.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 82% | Not shown |
| gemini-3.5-flash-lite | Low cost | 82% | Not shown |
| gpt-6-luna | Low cost | 82% | Not shown |
| claude-haiku-5-5 | Low cost | 82% | 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 level and its source taken from data-security
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: CE-001 ledger_balance internal; CO-012 says confidential Acceptable: {level: confidential, source: CO-012}
Also known as: Classification disagreeing with data-security
Related knobits
Builds on
All 12 knobits of Describe the catalogue entries.
Source: Review checklist 04-catalogue-entries, row 3 (DMBOK; data-security)