{"id":"W2405180488","doi":"10.5072/zenodo.243160","title":"Additions and Improvements in the ACE 2.0 Music Classifier.","year":2009,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Computer science; Classifier (UML); XML; Machine learning; Software; Data mining; Artificial intelligence; Dimensionality reduction; Pattern recognition (psychology); Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005581841,0.001745033,0.001450172,0.003566415,0.0008560508,0.002670555,0.004423422,0.001498364,0.06464129],"category_scores_gemma":[0.02538686,0.001833586,0.001486514,0.00240426,0.000327544,0.004350808,0.002637475,0.003600846,0.05653259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034851,"about_ca_system_score_gemma":0.001764189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135786,"about_ca_topic_score_gemma":0.01995728,"domain_scores_codex":[0.9931247,0.0006172867,0.000406113,0.0009162071,0.004606008,0.0003298348],"domain_scores_gemma":[0.9908153,0.001951827,0.0002802186,0.001805556,0.004631394,0.0005157607],"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":[0.000551725,0.0002088659,0.002234346,0.0002190728,0.0001222168,0.0002166131,0.0001063128,0.002928114,0.01381272,0.00415086,0.4255252,0.5499239],"study_design_scores_gemma":[0.0003309186,0.0002806191,0.004861652,0.00009795659,0.000138745,0.001031433,0.00005492854,0.1077944,0.02808905,0.00546278,0.8516033,0.0002541966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007399804,0.001449437,0.648505,0.001930517,0.003062102,0.0008449919,0.01946614,0.2821465,0.03519554],"genre_scores_gemma":[0.0240057,0.0007667577,0.8509621,0.001392201,0.0009494044,0.0006647855,0.04260616,0.02290322,0.05574973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06464129,"threshold_uncertainty_score":0.2162467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534833929551579,"score_gpt":0.2467551899752728,"score_spread":0.221406850679757,"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."}}