{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001464592,0.00006545578,0.0002270751,0.0003585418,0.0004858536,0.0002754131,0.0006722059,0.00003403577,1.149535e-7],"category_scores_gemma":[0.0002878491,0.0000414944,0.0001454385,0.004207708,0.0009784186,0.001917161,0.0001442489,0.00009376855,1.606465e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007256636,"about_ca_system_score_gemma":0.0003320171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005061932,"about_ca_topic_score_gemma":3.411731e-7,"domain_scores_codex":[0.9990613,0.000004389134,0.0003270075,0.00009401976,0.0003325138,0.0001807553],"domain_scores_gemma":[0.9979287,0.00006062692,0.0009709873,0.0001615937,0.0008311367,0.00004699285],"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":[0.0001281513,0.0001155267,0.004758354,0.0004354418,0.001484514,0.00000112764,0.02081259,0.008989771,0.05238983,0.2127094,0.01075536,0.6874199],"study_design_scores_gemma":[0.01040826,0.005581063,0.01918771,0.0005602513,0.00216997,0.001758223,0.05356473,0.4998862,0.09935641,0.1263094,0.1791422,0.002075649],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2853544,0.0001384544,0.7064536,0.007762749,0.0001118529,0.0001378845,0.000002566975,0.0000182092,0.00002026994],"genre_scores_gemma":[0.9592475,0.00008978997,0.03890933,0.001714125,0.00002754691,0.000004086349,1.342631e-7,0.00000142387,0.000006044969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6853442,"threshold_uncertainty_score":0.3736842,"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."}}