{"id":"W4221092124","doi":"10.1016/j.physa.2022.127261","title":"On the application of deep learning and multifractal techniques to classify emotions and instruments using Indian Classical Music","year":2022,"lang":"en","type":"article","venue":"Physica A Statistical Mechanics and its Applications","topic":"Music and Audio Processing","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multifractal system; Artificial intelligence; Deep learning; Psychology; Computer science; Mathematics education; Mathematics; Fractal; Mathematical analysis","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":[0.0001531931,0.0001078029,0.0001352071,0.00006640128,0.0007781731,0.00007884885,0.0001822379,0.00002566323,0.000007479556],"category_scores_gemma":[0.0000512506,0.00009210529,0.00001401883,0.0003395205,0.00003833856,0.00008977529,0.0004041244,0.0002406407,0.000001377228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002731089,"about_ca_system_score_gemma":0.00002375589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000075764,"about_ca_topic_score_gemma":0.000002362304,"domain_scores_codex":[0.9990545,0.00006212705,0.0001784589,0.0003537725,0.0002001105,0.0001510242],"domain_scores_gemma":[0.9992868,0.0002857878,0.0001134726,0.000161532,0.00004666987,0.0001057843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002054503,0.00005849802,0.000002857308,0.00001207365,0.00000461752,1.345487e-7,0.0002464269,0.00001030663,0.008403833,0.6451113,0.00001314287,0.3461348],"study_design_scores_gemma":[0.0001071461,0.0001536742,0.0001243521,0.00001255916,0.00001707705,0.000008700357,0.0001971491,0.8544478,0.000957805,0.140395,0.003435883,0.0001428926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0470852,0.00001628444,0.9503131,0.00192473,0.00001091013,0.0005030166,0.00003782615,0.00003919565,0.00006973085],"genre_scores_gemma":[0.963208,0.00001118619,0.0359277,0.000433643,0.00002173941,0.0003762676,0.000007657196,0.000009440714,0.000004408702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9161227,"threshold_uncertainty_score":0.5985157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02049132604189165,"score_gpt":0.2802540948713348,"score_spread":0.2597627688294432,"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."}}