False negativen.
When a detector misses AI-written text and scores it as human. Lightly edited or paraphrased model output is the usual cause — small changes can be enough to drop a statistical detector's confidence.
Paste any text to see how likely it reads as AI — with the same calibrated three-way breakdown this glossary describes.
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