{"id":"W2909697058","doi":"10.1145/3243274.3243310","title":"Music Genre Classification","year":2018,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Computer science; Pairwise comparison; Benchmark (surveying); Set (abstract data type); Music information retrieval; Natural language processing; Artificial intelligence; Information retrieval; Film genre; Speech recognition; Machine learning; Musical; Literature; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001443498,0.001277967,0.001566501,0.009665491,0.001631494,0.003030397,0.002038676,0.001098768,0.01487376],"category_scores_gemma":[0.006192341,0.0002134426,0.001573717,0.005436302,0.0004452511,0.002372799,0.001469608,0.001337179,0.008374824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102964,"about_ca_system_score_gemma":0.0009727171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004775725,"about_ca_topic_score_gemma":0.00664839,"domain_scores_codex":[0.9983662,0.0002207321,0.0001532489,0.0004377863,0.0006419749,0.0001800306],"domain_scores_gemma":[0.997157,0.0005897319,0.0002517124,0.0005579251,0.001111647,0.0003319459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004427124,0.0004063671,0.02154845,0.0007180277,0.0001817204,0.000312928,0.0001895853,0.00321148,0.01330216,0.004926752,0.0450534,0.9097065],"study_design_scores_gemma":[0.0003382175,0.0009890401,0.1162353,0.001069516,0.0006289814,0.004739834,0.003265693,0.4255861,0.0288449,0.03686529,0.3811266,0.0003106008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.324174,0.02779371,0.4565102,0.003740288,0.006153346,0.003607623,0.02808155,0.01516118,0.1347782],"genre_scores_gemma":[0.5091652,0.006497137,0.3917039,0.000983084,0.002446884,0.0007882697,0.05132094,0.0009862519,0.0361084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01487376,"threshold_uncertainty_score":0.0497576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06082113831730287,"score_gpt":0.269117038303933,"score_spread":0.2082958999866301,"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."}}