Recognises auto-merge with no clerical-review band
Above threshold merge, below it nothing.
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 | 79% | Not shown |
| gpt-6-luna | Low cost | 82% | Not shown |
| claude-haiku-5-5 | Low cost | 84% | 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 bands with a clerical-review region
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: bands: {auto_merge: ">= 0.80", no_match: "< 0.80"} Acceptable: Auto ≥ 0.95, clerical 0.80-0.95, no match < 0.80
Also known as: Auto-merge with no clerical band
Related knobits
Builds on
Usually followed by
All 16 knobits of Define the matching rules.
Source: Review checklist 03-matching, row 3 (FS)