{
  "model_type": "poster-sentry",
  "version": "1.4.0",
  "architecture": "stacked_logistic_regression_multimodal",
  "embedding_backbone": "minishlab/potion-base-32M",
  "embedding_dim": 512,
  "visual_features": 15,
  "structural_features": 15,
  "total_features": 542,
  "labels": [
    "non_poster",
    "poster"
  ],
  "num_classes": 2,
  "head_file": "models/poster_sentry_head.npz",
  "scaler": "StandardScaler",
  "classifier": "LogisticRegression",
  "accuracy": 0.9444,
  "accuracy_ci95": [
    0.9204,
    0.9615
  ],
  "oof_accuracy": 0.944,
  "training_samples": 3235,
  "label_provenance": "human-validated (three-reviewer survey with blinded adjudication)",
  "library_name": "model2vec",
  "pdf_backend": "pdfplumber + pypdfium2",
  "stage1": "LogisticRegression over the 512-d text embedding; poster probability becomes the text_score feature",
  "final_classifier_features": 31,
  "corpus_poster_pct": 80.4,
  "text_extraction": "poster2json layout engine on pdfplumber (first page), pdfplumber default when it returns no text"
}