Clarification calibration
Score 0-100: asks for clarification when needed and only when needed
What is clarification calibration?
Score 0-100: asks for clarification when needed and only when needed
Why it matters
Understanding clarification calibration helps developers make informed decisions when evaluating models and providers. This metric provides a concrete, comparable data point — removing guesswork from the selection process. When you know the numbers, the data decides.
Where models stand
No data available yet for this metric.
How sourc.dev tracks this
sourc.dev tracks clarification calibration through its automated monitoring pipeline. Data is collected on a regular schedule, compared against previous values, and any changes are recorded in the history table with full provenance — source URL, effective date, and verification timestamp. Nothing is overwritten. The pipeline ensures this attribute stays current without manual intervention.
Related
Frequently asked questions
How does sourc.dev measure clarification calibration?
sourc.dev monitors this attribute automatically via pipeline. Every data point includes a source URL and verification date. Changes are recorded in the history table — nothing is overwritten.
How often is clarification calibration updated?
This attribute is monitored on a regular schedule by automated pipeline. Changes are detected and recorded automatically.
Why does clarification calibration matter for developers?
Understanding clarification calibration helps developers make informed decisions when choosing between models and providers. Rather than relying on marketing claims, sourc.dev provides verified, dated, source-linked data so the data decides.