{"id":"W4409796512","doi":"10.1109/southeastcon56624.2025.10971477","title":"Deep Multimodal Classification of Musical Genres","year":2025,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Musical; Computer science; Artificial intelligence; Natural language processing; Speech recognition; Art; Literature","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":[],"consensus_categories":[],"category_scores_codex":[0.0000779754,0.00003945738,0.00006454103,0.00005244292,0.00004113835,0.00003379502,0.0003042812,0.00002749546,0.00002280177],"category_scores_gemma":[0.00002663825,0.00003175668,0.00002414117,0.0002275481,0.00003091507,0.0001428547,0.00009003995,0.00003579152,0.000009365603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008250841,"about_ca_system_score_gemma":0.00005322155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000124672,"about_ca_topic_score_gemma":0.000006147896,"domain_scores_codex":[0.9995563,0.00001336428,0.0001184064,0.0001485878,0.000085778,0.00007757842],"domain_scores_gemma":[0.9996548,0.00003811993,0.00003434069,0.0002059656,0.00004909595,0.00001770605],"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":[0.000001821817,0.00004765269,0.0007635346,0.00002459297,0.000005851241,5.223158e-7,0.0002388095,0.00004716641,0.01551102,0.4202265,0.001718512,0.5614141],"study_design_scores_gemma":[0.0002021704,0.00001140811,0.05474894,0.00002150081,0.000003664323,7.763159e-7,0.00006158962,0.9193256,0.01654681,0.006517762,0.002482664,0.00007706287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02829271,0.00003737592,0.9310474,0.001598259,0.0001165819,0.00003181646,5.890442e-8,0.00005440691,0.03882142],"genre_scores_gemma":[0.9118415,0.000001243768,0.08691728,0.000620187,0.00001539564,0.000002487956,3.263125e-7,9.697621e-7,0.0006006529],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9192785,"threshold_uncertainty_score":0.1295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001921047696685,"score_gpt":0.2770585678062852,"score_spread":0.2570393573293183,"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."}}