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The Confidence threshold validator sets the minimum confidence the model must have in a field for it to be auto-approved. Anything below the threshold is flagged, so a human looks at the values the model was unsure about and the rest pass through untouched. This is the main dial between automation rate and accuracy. A high threshold catches more mistakes but sends more documents to review; a low one automates more and lets more mistakes through.

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Options

Rather than guessing, run a batch of documents through and look at how often the model is right at each confidence level. Start strict, then lower the threshold on fields that prove reliable.

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How it behaves

This validator always reports a warning, so the reviewer can accept a low-confidence value as it stands. The warning/error setting shown in the panel has no effect here — if a field must be corrected before the review can be completed, enforce it with a validator that supports errors, such as RegExp or Cannot be empty.
Setting every confidence threshold to 0 makes every run stop for human review, which is occasionally useful when you want a person to see everything.