NOTAI.AI：基于曲率和特征归因的机器生成文本可解释检测

NOTAI.AI is an explainable framework for detecting machine-generated text that enhances Fast-DetectGPT by integrating curvature-based signals with neural and stylometric features in a supervised setting. The system combines 17 interpretable features, including Conditional Probability Curvature, ModernBERT detector score, readability metrics, and stylometric cues, within a gradient-boosted tree (XGBoost) meta-classifier to determine whether a text is human- or AI-generated. Furthermore, NOTAI.AI employs Shapley Additive Explanations (SHAP) to provide both local and global feature-level attributions. These attributions are further translated into structured natural-language rationales through an LLM-based explanation layer, enhancing interpretability.