{"id":"W1982050002","doi":"10.1155/2007/86874","title":"Music Information Retrieval Based on Signal Processing","year":2007,"lang":"en","type":"article","venue":"EURASIP Journal on Advances in Signal Processing","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; McGill University","funders":"","keywords":"Computer science; Music information retrieval; Digital audio; MIDI; Search engine indexing; Signal processing; Audio signal processing; Statistical signal processing; Audio signal; Audio analyzer; Information retrieval; Speech recognition; Digital signal processing; Speech coding; Musical","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":[0.0007414147,0.0009717062,0.001680366,0.004440841,0.0005512058,0.004014018,0.001249781,0.001414386,0.02255005],"category_scores_gemma":[0.003562692,0.0002841625,0.0009854067,0.004549598,0.0008344821,0.004133312,0.001269253,0.001597965,0.01086129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007721518,"about_ca_system_score_gemma":0.0005532812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006383248,"about_ca_topic_score_gemma":0.00062526,"domain_scores_codex":[0.9985992,0.0002038891,0.0001284937,0.0002373287,0.0007552197,0.00007587542],"domain_scores_gemma":[0.9985805,0.0005499626,0.00007208394,0.0001807533,0.000549706,0.00006693826],"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":[0.0001411555,0.00007569916,0.0002930337,0.001384177,0.0001143762,0.000160238,0.0001172195,0.002764471,0.009223463,0.03712364,0.2079833,0.7406192],"study_design_scores_gemma":[0.00005110691,0.0002313729,0.001379823,0.0004560775,0.0001162639,0.0009303601,0.0001668542,0.05175004,0.008589195,0.04506701,0.8911633,0.00009856321],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009139869,0.2768095,0.5180396,0.01192021,0.06932022,0.0005602189,0.001242245,0.004829193,0.1081389],"genre_scores_gemma":[0.08810449,0.2643218,0.2997769,0.006794181,0.1172572,0.0005123532,0.006886046,0.001903241,0.2144438],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02255005,"threshold_uncertainty_score":0.07543743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803777520624409,"score_gpt":0.2818060490838381,"score_spread":0.2637682738775939,"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."}}