Recognises a balance component not migrated
A component the target needs is outside scope.
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 | 68% | Not shown |
| gemini-3.5-flash-lite | Low cost | 66% | Not shown |
| gpt-6-luna | Low cost | 67% | Not shown |
| claude-haiku-5-5 | Low cost | 65% | 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 defect named on the component outside the migration scope, and its fix or the question for its owner
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: Accrued interest not mapped; scope "principal and status" Acceptable: MM for accrued interest, reconciled
Also known as: Balance component not migrated
Related knobits
Builds on
All 15 knobits of Plan and prove a data migration.
Source: Review checklist 05-data-migration, row 7 (DMBOK)