{"id":"W2249488721","doi":"10.25071/1708-6701.19649","title":"Remain Calm! RDA, FRBR, and Music Libraries","year":2008,"lang":"en","type":"article","venue":"CAML Review / Revue de l ACBM","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; University of Toronto","funders":"","keywords":"Computer science; World Wide Web; Visual arts; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008356055,0.0005603296,0.0008447426,0.004047032,0.008535836,0.02399773,0.002944279,0.01119551,0.2036366],"category_scores_gemma":[0.03410836,0.0004236395,0.001132855,0.004423567,0.005601384,0.01551797,0.007870773,0.005766361,0.07183502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01044784,"about_ca_system_score_gemma":0.01855901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03486797,"about_ca_topic_score_gemma":0.08349402,"domain_scores_codex":[0.9919994,0.0018369,0.0003401134,0.0006424009,0.00327935,0.001901841],"domain_scores_gemma":[0.9823951,0.002972661,0.0009616428,0.001302883,0.005781964,0.006585764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003220002,0.00002894159,0.0004536812,0.0003026963,0.00001461462,0.00005330589,0.0002437606,0.00001369309,0.00007750342,0.03267104,0.8809418,0.08516676],"study_design_scores_gemma":[0.000006820521,0.0000109597,0.0008066838,0.0002374937,0.00000883714,0.00004174269,0.0005514852,0.000006502522,0.00003165677,0.002168657,0.9961203,0.0000089463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00163827,0.07736848,0.0004529543,0.4988506,0.03425143,0.0000468826,0.0003840095,0.0006398932,0.3863675],"genre_scores_gemma":[0.04470611,0.04145934,0.0009757715,0.2278349,0.02894093,0.00008799649,0.0005503952,0.0003428267,0.6551018],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2036366,"threshold_uncertainty_score":0.6812324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03317358293876568,"score_gpt":0.2183961439270208,"score_spread":0.1852225609882552,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}