{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004610012,0.0003216812,0.0004024551,0.001933713,0.0001768738,0.0005479201,0.0002910666,0.0004363947,0.0009141362],"category_scores_gemma":[0.001773242,0.0001071886,0.0004693636,0.001041009,0.0002375832,0.0007536038,0.0002375102,0.0003759893,0.0005584749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001065632,"about_ca_system_score_gemma":0.0001310321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004017023,"about_ca_topic_score_gemma":0.0005332672,"domain_scores_codex":[0.999781,0.00003283523,0.00002087894,0.00003659409,0.00009244803,0.00003623543],"domain_scores_gemma":[0.9994676,0.0002349204,0.00007250527,0.00005912393,0.0001289378,0.00003689093],"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":[0.0005195212,0.0001564101,0.01343241,0.0001422907,0.00008534964,0.0002236767,0.0001202242,0.008819609,0.3254712,0.00114013,0.0008773089,0.6490119],"study_design_scores_gemma":[0.0001638333,0.001446549,0.2453279,0.00008625823,0.0003221052,0.00149264,0.0006466357,0.5473561,0.18853,0.004702094,0.009765176,0.000160684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5883882,0.0006660269,0.407906,0.000124411,0.00008272863,0.00007753697,0.0003490827,0.0004724187,0.001933663],"genre_scores_gemma":[0.8359135,0.0004286651,0.162013,0.00002667628,0.00006486581,0.00003877458,0.0006937851,0.0000473614,0.0007733335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001933713,"threshold_uncertainty_score":0.003058076,"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."}}