{"id":"W2068133563","doi":"10.1109/icmew.2013.6618250","title":"Classification of music instruments using wavelet-based time-scale features","year":2013,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Wavelet; Computer science; Scale (ratio); Artificial intelligence; Wavelet transform; Pattern recognition (psychology); Speech recognition; SIGNAL (programming language); Geography; Cartography","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":[0.00008103205,0.00007929374,0.0001022749,0.00007102855,0.00007424642,0.00009759394,0.0003379251,0.0000444568,0.0002460212],"category_scores_gemma":[0.000007900934,0.00006405919,0.0000329852,0.0002473482,0.00003994616,0.000458267,0.00006647548,0.00005249443,0.00007412425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002247018,"about_ca_system_score_gemma":0.00007106877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007170799,"about_ca_topic_score_gemma":0.00000200125,"domain_scores_codex":[0.9992777,0.0000217009,0.0001618568,0.0002031015,0.0001895729,0.000146125],"domain_scores_gemma":[0.9994493,0.00001707111,0.0001137107,0.0002869033,0.00008685524,0.00004612165],"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":[0.000002126167,0.0001062707,0.00125669,0.00005342614,0.000009739589,3.968206e-7,0.0003441992,0.00004943629,0.4264382,0.00228343,0.007375866,0.5620803],"study_design_scores_gemma":[0.0003364189,0.00002935811,0.05106359,0.00005972451,0.000005617881,0.000003467794,0.0000327805,0.837795,0.1089348,0.001202359,0.0003484586,0.0001884646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6162316,0.00001283894,0.3729098,0.0007012906,0.00009936022,0.0001209086,3.978208e-7,0.00007764354,0.009846249],"genre_scores_gemma":[0.8137274,2.029214e-7,0.1850076,0.0007046136,0.00002197978,0.000003672991,0.000001542719,0.000004130022,0.0005288214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8377455,"threshold_uncertainty_score":0.269376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02640845793357363,"score_gpt":0.2390025464404923,"score_spread":0.2125940885069187,"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."}}