{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006112124,0.0006493676,0.0002634475,0.0005004179,0.0001744819,0.0005071355,0.0004978632,0.0004623708,0.001942615],"category_scores_gemma":[0.002509084,0.0002775479,0.0002991981,0.0003359042,0.0001867112,0.0006299303,0.0002984352,0.0005075454,0.0003378913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003895409,"about_ca_system_score_gemma":0.0002251043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003760739,"about_ca_topic_score_gemma":0.005573216,"domain_scores_codex":[0.999779,0.00004394861,0.0000102386,0.00009007896,0.00004129905,0.00003538408],"domain_scores_gemma":[0.9994642,0.0002966999,0.00004778412,0.00004222821,0.000130116,0.00001903511],"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":[0.000586479,0.0003439376,0.01585268,0.0000651868,0.0001431189,0.000186742,0.0001216496,0.3479126,0.05428649,0.0009137041,0.001646603,0.5779408],"study_design_scores_gemma":[0.000004578191,0.00003196602,0.002482969,0.000002911057,0.000007965523,0.000009446256,0.00001023661,0.9933578,0.003583344,0.0003880142,0.0001166532,0.000004031605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.643392,0.0003719532,0.3498438,0.000205906,0.0000773216,0.00008033866,0.0002718696,0.001472436,0.004284488],"genre_scores_gemma":[0.9306788,0.00007310625,0.06527181,0.00005997439,0.00003181585,0.00004236088,0.0003112243,0.00003339982,0.003497572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003760739,"threshold_uncertainty_score":0.007477641,"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."}}