{"id":"W2341514193","doi":"10.32920/25413184","title":"Predicting Emotion from Music Audio Features Using Neural Networks","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Artificial neural network; Computer science; Speech recognition; Psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002495256,0.0003872605,0.0003590521,0.0001475016,0.0002305061,0.001669131,0.001079493,0.0003992971,0.00005958959],"category_scores_gemma":[0.00002676777,0.0003367674,0.0001971192,0.0003198127,0.00004080543,0.0002877614,0.004584101,0.001509459,0.00001275659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095969,"about_ca_system_score_gemma":0.0001606212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000707418,"about_ca_topic_score_gemma":0.00005046109,"domain_scores_codex":[0.9975758,0.00008024181,0.000383229,0.001149646,0.0003855928,0.0004254644],"domain_scores_gemma":[0.99874,0.00007783493,0.0002388411,0.0007533227,0.00007806963,0.0001119798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007595186,0.00005007933,0.001440084,0.0004978596,0.0002312362,0.0001821882,0.004123903,0.6156956,0.0004720591,0.003305104,0.02106459,0.3529297],"study_design_scores_gemma":[0.00006746309,0.000007657847,0.0008843995,0.000611929,0.00005106114,0.0000197507,0.00002437982,0.9798465,0.0001254646,0.01794581,0.0000774474,0.0003380898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1714312,0.002623027,0.8132709,0.0009131782,0.007439949,0.0001832905,0.000005824583,0.0009446621,0.003187971],"genre_scores_gemma":[0.9228995,0.00001326365,0.07185361,0.001672156,0.00302266,0.000008032142,0.00002925124,0.00003826167,0.0004633053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7514682,"threshold_uncertainty_score":0.9999084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03329511736497253,"score_gpt":0.2603109886922198,"score_spread":0.2270158713272473,"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."}}