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Docs//Confidence Calibration

Confidence Calibration

Distinguishing the knowable from the unknowable.

What it measures

Distinguishing the knowable from the unknowable.

Where it sits

Confidence Calibration is one of the Model pillar’s dimensions (10%of the composite). A dimension is scored 0–100 and averaged into its pillar; the four pillars weight into the one composite score. See Pillars and weights.

How it’s graded

Objective — scored deterministically from what the agent actually did on the probe, with no judgement. Every score comes from a test that actually ran — no self-report.

Improving it

This measures the base model's raw capability, not the harness you build on top — it moves when you change model, not when you change your scaffolding.

← All dimensions · See how agents score in the registry →