{"id":"W2390689188","doi":"10.82308/44846","title":"Automatic music classification with jMIR","year":2010,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Suite; Tying; Metadata; World Wide Web; Set (abstract data type); Music information retrieval; Data science; Information retrieval; Musical; Artificial intelligence","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":[0.008302196,0.003313949,0.002876746,0.01079421,0.003343148,0.008757708,0.00559673,0.003338563,0.03085215],"category_scores_gemma":[0.02606373,0.001142056,0.004034089,0.006418963,0.00119243,0.005469778,0.004713868,0.003587499,0.0484823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002090892,"about_ca_system_score_gemma":0.003175361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007952126,"about_ca_topic_score_gemma":0.01236844,"domain_scores_codex":[0.9900365,0.001837408,0.00118321,0.002892304,0.003447092,0.0006035705],"domain_scores_gemma":[0.994622,0.00188587,0.0002851663,0.00132982,0.001673309,0.0002037712],"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":[0.0009826464,0.0002318047,0.001311325,0.001351902,0.0002945107,0.0002851328,0.0004444596,0.002757522,0.01979135,0.006153808,0.1479133,0.8184822],"study_design_scores_gemma":[0.0006538106,0.0006094272,0.005693625,0.0007706071,0.0005335279,0.001685138,0.001473757,0.3229139,0.1071766,0.05468613,0.5031171,0.0006863583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007635662,0.004555292,0.6632651,0.0008293284,0.002124843,0.001315791,0.01557225,0.2808346,0.02386717],"genre_scores_gemma":[0.03199233,0.0007702219,0.934245,0.0007192583,0.0003476,0.0008719733,0.01785251,0.005827343,0.007373855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03085215,"threshold_uncertainty_score":0.1032107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02308470257553307,"score_gpt":0.2335094472206267,"score_spread":0.2104247446450936,"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."}}