Recognises a source value with no target value
A coded value observed in the source with no crosswalk entry: dropped or defaulted silently.
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 | 94% | Mastered |
| gemini-3.5-flash-lite | Low cost | 66% | Not shown |
| gpt-6-luna | Low cost | 94% | Mastered |
| claude-haiku-5-5 | Low cost | 91% | Mastered |
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 coded value missing from the crosswalk, and its fix or the question for its owner
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: MM-001 legacy status RST (restructured) not in the crosswalk Acceptable: Mapped (e.g. RESTRUCTURED) or rejected and decided by the owner
Also known as: Source value with no target
Related knobits
Builds on
- O-553 Explains crosswalks, precision and minor units
- N-251 Explains the source-to-target mapping contract
All 15 knobits of Plan and prove a data migration.
Source: Review checklist 05-data-migration, row 3 (DMBOK)