Calibration + receipts for AI-text detectors. Name reserved; first functional release coming.
Project description
gaige
Calibration + receipts for AI-text detectors. Your corpus, your thresholds, honest error bars.
This is a 0.0.0 placeholder reserving the name while the project finishes its first
release. Nothing is installed by it.
Every deployed AI-text detector is an instrument whose numbers depend on the model, the quantization, the library versions, and the kind of text it reads — and almost nobody using one knows their real false-positive rate on their own material. gaige measures that, and emits a report you can defend: ROC/AUROC with bootstrap intervals, thresholds at target false-positive rates with the rates actually achieved, and a full instrument fingerprint.
License: AGPL-3.0 (commercial terms available). The name is a trademark and is not granted by the license.
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