Uses standard metadata elements for their meaning
Dublin Core and ISO 23081 names used where they fit, with qualifiers, and no surplus elements
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 | 10% | Not mastered |
| gemini-3.5-flash-lite | Low cost | 2% | Not shown |
| gpt-6-luna | Low cost | 89% | Not shown |
| claude-haiku-5-5 | Low cost | 89% | 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: Dublin Core and ISO 23081 names used where they fit, with qualifiers, and no surplus elements
How it is assessed: Every cited standard element means what the schema element means
Related knobits
Builds on
All 15 knobits of Define the content metadata schema.
Source: Graded on its own by dcm-content-metadata