Recognises control totals across currencies
One control total over several currencies: offsetting errors and unit mixes pass.
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 | 87% | Not shown |
| gemini-3.5-flash-lite | Low cost | 44% | Not shown |
| gpt-6-luna | Low cost | 86% | 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: The defect named on the one total over several currencies, and its fix or the question for its owner
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: RC-002 total principal, EUR + SEK + USD summed Acceptable: split_by: [currency, product, status]
Also known as: Totals across currencies
Related knobits
Builds on
Usually followed by
All 15 knobits of Plan and prove a data migration.
Source: Review checklist 05-data-migration, row 2 (DMBOK; 4217)