{"id":"W2089258132","doi":"10.1002/asi.20060","title":"Music analysis and retrieval systems for audio signals","year":2004,"lang":"en","type":"article","venue":"Journal of the American Society for Information Science and Technology","topic":"Music and Audio Processing","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Audio analyzer; Digital audio; Field (mathematics); Software; Music information retrieval; Graphical user interface; Multimedia; Human–computer interaction; Information retrieval; Speech coding; Speech recognition; Audio signal","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":[0.002443806,0.0009658263,0.001163649,0.002184227,0.000822852,0.002598212,0.00196144,0.001222607,0.009924838],"category_scores_gemma":[0.008007781,0.0005044732,0.0007236273,0.001263046,0.0006203478,0.002307805,0.001867302,0.0007811305,0.003659316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008567926,"about_ca_system_score_gemma":0.0006076498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002296054,"about_ca_topic_score_gemma":0.002054147,"domain_scores_codex":[0.9979665,0.0004794178,0.0002078612,0.0003310414,0.0009073208,0.0001078513],"domain_scores_gemma":[0.997183,0.0009607402,0.00028759,0.0004428782,0.001025186,0.0001006857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001874754,0.0003093066,0.002433708,0.0006801141,0.0002850213,0.0004756614,0.0004448547,0.02451888,0.2374233,0.01589734,0.01427977,0.7013772],"study_design_scores_gemma":[0.0006956863,0.0009022231,0.004794923,0.0001106969,0.0003394451,0.0009558801,0.0001923591,0.7806524,0.1669369,0.01340488,0.03086732,0.000147358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03962548,0.001079927,0.9286782,0.0002439062,0.0001529222,0.0004690978,0.0002263901,0.02591803,0.003606036],"genre_scores_gemma":[0.2309392,0.00040447,0.7610676,0.0001976523,0.0001645717,0.0003574454,0.0006237813,0.0005597867,0.005685427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009924838,"threshold_uncertainty_score":0.03320187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434644080420387,"score_gpt":0.2642802057624683,"score_spread":0.2499337649582644,"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."}}