Confidence-Gated AI: When Should a Model Refuse to Auto-Correct?

Automated excerpt

What building a medical transcription pipeline taught me about the difference between a model being sure, and a model being right. A single digit, silently wrong, and a system that never once flagged it as uncertain. Similarity and confidence form the first gate: a correction is only eligible to auto-apply if similarity clears 0. 90 and extraction confidence clears 0. 70.

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