Recognises a critical data element with no service level
A CDE missing from the scorecard.
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 2 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 90% | Mastered |
| gemini-3.5-flash-lite | Low cost | 89% | Not shown |
| gpt-6-luna | Low cost | 90% | Mastered |
| claude-haiku-5-5 | Low cost | 90% | 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 service level and scorecard line for the element
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: CD-008 forbearance_flag Acceptable: SL and SC lines for CD-008
Also known as: Critical element with no service level
Related knobits
Builds on
All 10 knobits of Set data quality service levels and the scorecard.
Source: Review checklist 07-sla-scorecard, row 6 (BCBS 239 P4; DMBOK)