Recognises an issue on a critical data element with no impact stated
An issue on a critical element with no impact recorded.
Can AI do this?
AI does this well Most of the tested AI models master this. 3 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 91% | Mastered |
| gemini-3.5-flash-lite | Low cost | 90% | Mastered |
| gpt-6-luna | Low cost | 90% | Mastered |
| 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: The impact in words and numbers
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: IS-002 37 wrong DGS flags, impact: null Acceptable: "37 depositors could be left out of a DGS payout; SCV file misstated"
Also known as: Issue on a CDE with no impact stated
Related knobits
Builds on
All 9 knobits of Manage data quality issues.
Source: Review checklist 06-issue-management, row 5 (DMBOK §2.6)