{"id":"W4288060192","doi":"10.37896/ymer21.07/89","title":"JUXTAPOSITION BETWEEN TWO CONVOLUTIONAL NEURAL NETWORK FOR MUSIC GENRE CLASSIFICATION","year":2022,"lang":"en","type":"article","venue":"YMER Digital","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Convolutional neural network; Task (project management); Spectrogram; Process (computing); Net (polyhedron); Artificial intelligence; Artificial neural network; Deep learning; Speech recognition; Machine learning; Engineering","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":[0.0005955574,0.001112184,0.0005118081,0.0008177669,0.0003312312,0.0008271829,0.001482819,0.0009899923,0.003537061],"category_scores_gemma":[0.001116787,0.0003139557,0.0006729747,0.0006709468,0.0002834742,0.001398857,0.0008175541,0.001187851,0.001442737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008868331,"about_ca_system_score_gemma":0.0007119988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01229867,"about_ca_topic_score_gemma":0.01911513,"domain_scores_codex":[0.9996487,0.00003163303,0.00001903842,0.0001167202,0.0000710677,0.0001129064],"domain_scores_gemma":[0.9997787,0.00004351726,0.00002076044,0.00004712883,0.0000786111,0.00003122187],"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":[0.001877086,0.0009802993,0.01324659,0.0003404341,0.0004963229,0.0006241516,0.0001055517,0.1183663,0.04755383,0.004406003,0.01844718,0.7935562],"study_design_scores_gemma":[0.00004182957,0.0003550718,0.005067701,0.00004617966,0.0001263353,0.0001736544,0.0000665159,0.9550526,0.0314504,0.00212619,0.005464409,0.00002923245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5831982,0.004988011,0.3529674,0.001490555,0.001445135,0.0003666688,0.003407849,0.01635788,0.03577824],"genre_scores_gemma":[0.8655911,0.0009102469,0.1103565,0.0004121843,0.00008961972,0.0001290598,0.004003286,0.0001299586,0.01837804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01229867,"threshold_uncertainty_score":0.02445418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05499277727355756,"score_gpt":0.2660320681744588,"score_spread":0.2110392909009013,"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."}}