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(pipeline/catalogue.py)", "books_with_a_code": 7799, "books_mapped": 6689}, "T3_bootstrap_median": 0.3573638085687529, "met": {"T1": false, "T2": true, "T3": false}}}, "encoders": {"encoders": {"B": {"model": "sentence-transformers/LaBSE", "name": "LaBSE embeddings", "params_m": 471, "books": 629, "knn_plain": 0.6089015873015874, "knn_centred": 0.6486603174603174}, "C": {"model": "l3cube-pune/indic-sentence-similarity-sbert", "name": "IndicSBERT embeddings", "params_m": 238, "books": 629, "knn_plain": 0.5580571428571429, "knn_centred": 0.6454730158730159}, "D": {"model": "BAAI/bge-m3", "name": "BGE-M3 embeddings", "params_m": 568, "books": 629, "knn_plain": 0.6074285714285714, "knn_centred": 0.6821206349206349}, "G": {"model": "gemini-embedding-001", "name": "Gemini embeddings", "params_m": null, "books": 629, "knn_plain": 0.6392253968253968, "knn_centred": 0.7504126984126984}}, "chosen": "G", "rule": "highest centred 7-NN subject accuracy; within 2 points the smaller model", "subjects": ["history, biography and geography", "language and grammar", "literature", "other", "religion and philosophy", "science, medicine and technology", "society, law and economics"], "note": "labelled train+validation books only; test books unused"}}