Adds a false-merge measure taken before merging
A false-merge rate on a labelled sample of pairs before merge, replacing activity counts as a quality metric
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 | 84% | Not shown |
| gemini-3.5-flash-lite | Low cost | 80% | Not shown |
| gpt-6-luna | Low cost | 82% | Not shown |
| claude-haiku-5-5 | Low cost | 83% | 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: A false-merge rate on a labelled sample of pairs before merge, replacing activity counts as a quality metric
How it is assessed: The scorecard can show over-matching
Related knobits
Builds on
All 13 knobits of Run the stewardship workflow and measure MDM.
Source: Graded on its own by rmd-stewardship-metrics