AI Detection Score
AI DetectionA percentage or probability rating that indicates how likely a piece of text was generated by an AI model.
An AI detection score is the output of a classifier that has analyzed text for statistical signatures common to language model outputs. Scores are typically expressed as a percentage — '82% AI-generated' — or as a label like 'likely human,' 'mixed,' or 'likely AI.' The underlying calculation usually combines perplexity measurement, burstiness analysis, and token probability modeling.
Scores above 80% on major detectors like GPTZero or Originality.ai are generally treated as red flags by academic institutions and content platforms. Scores between 30–70% are the gray zone where detectors disagree with each other most often. A single piece of text can score 45% on one tool and 91% on another — a reality that makes blanket policies based on detection scores problematic.
When using Coda One's AI Humanizer, checking your detection score before and after is the standard workflow. A score drop from 85% to 12% after humanization tells you the transformation worked. Most users set a personal threshold — anything above 20% gets another pass.
Real-World Example
After running their essay through Coda One's AI Humanizer twice, the student's detection score dropped from 91% to 8% on GPTZero.
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FAQ
What is AI Detection Score?
A percentage or probability rating that indicates how likely a piece of text was generated by an AI model.
How is AI Detection Score used in practice?
After running their essay through Coda One's AI Humanizer twice, the student's detection score dropped from 91% to 8% on GPTZero.
What concepts are related to AI Detection Score?
Key related concepts include AI Detection, Perplexity Score, Burstiness, GPTZero, Turnitin. Understanding these together gives a more complete picture of how AI Detection Score fits into the AI landscape.