Use confidence buckets, not fake precision

Precise confidence numbers look scientific and often are not. Unless they are tied to a calibrated model or measured historical error, they are mostly theater.

Buckets work better in operator workflows because they can map to action: high can publish, medium can request a receipt, low can escalate, unknown can abstain.

The bucket should cite the reason: direct source found, conflicting source found, no source found, or model-only inference. That reason matters more than the label.