Recognises a needed metadata type with no source
A need that no source provides.
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 | 60% | Not shown |
| gemini-3.5-flash-lite | Low cost | 37% | Not shown |
| gpt-6-luna | Low cost | 60% | Not shown |
| claude-haiku-5-5 | Low cost | 61% | 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 need and a source to harvest, curate or infer it
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: UC-005 needs load run (operational); no MX provides it Acceptable: MX harvesting the scheduler's run log
Also known as: Metadata type with no source
Related knobits
Builds on
- M-152 Explains business, technical and operational metadata
- M-153 Explains metadata capture methods and the freshness each can keep
All 13 knobits of State the metadata requirements and strategy.
Source: Review checklist 01-requirements-strategy, row 3 (DMBOK §2.2)