Explains the registration status of metadata items
Statuses from candidate through recorded, qualified and standard to retired or superseded, and why an item nobody has confirmed is not published as approved (ISO/IEC 11179-6:2023).
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 | 81% | Not shown |
| gemini-3.5-flash-lite | Low cost | 61% | Not shown |
| gpt-6-luna | Low cost | 63% | Not shown |
| claude-haiku-5-5 | Low cost | 79% | 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Expected result: Statuses from candidate through recorded, qualified and standard to retired or superseded, and why an item nobody has confirmed is not published as approved (ISO/IEC 11179-6:2023).
How it is assessed: Answers a written question on the registration status correctly
Related knobits
Builds on
Needed for
All 13 knobits of State the metadata requirements and strategy.
Source: Practice the stage 1 reference and review checklist rest on