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AI Detector False Positive Calculator
Estimate whether an AI detector result deserves extra human review based on score, sample length, writing context, and authorship evidence. This tool does not prove a text is human or AI-written; it helps frame risk before a decision.
Review risk inputs
Writing context
When to be cautious
Short samples, threshold-zone scores, formal writing, templates, and non-native English can all make detector output less reliable.
Best next step
Ask for the full report, highlighted passages, threshold, detector name, date run, and a human review against the applicable policy.
Build the packet
Pair this estimate with drafts and process evidence using the appeal letter or detection report tools.
Evidence checklist for human review
1. Version history or document edit timeline
2. Earlier drafts, outline, or planning notes
3. Research notes, citations, or source exports
4. Teacher, editor, or reviewer feedback
5. Local file timestamps or submission history