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Model predictive performance
(A and B) Shown are cross-validated receiver operating curves (ROCs) for the Full-NLP-CNN model trained on metadata and title and abstract embeddings (orange for validation, purple for held-out test) and the Metadata-MLP model (red) and the Citation-LogisticRegression model trained on citation count per year (blue) for guideline or policy inclusions (A) and patent inclusions (B). The confidence intervals are ±2 SD on cross-validation.
