{"id":"W2106339924","doi":"10.1109/icassp.2000.859336","title":"Speech/music discrimination for multimedia applications","year":2002,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":181,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Multimedia; Speech recognition","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":[0.0006851092,0.0006495385,0.0005137128,0.001698092,0.0004082707,0.00075636,0.0005650295,0.0008880994,0.007658463],"category_scores_gemma":[0.002298771,0.0001653875,0.0002964004,0.0009104576,0.0001787798,0.0008498423,0.0004214437,0.0004528167,0.002639305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003415274,"about_ca_system_score_gemma":0.0002857143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008225693,"about_ca_topic_score_gemma":0.001228737,"domain_scores_codex":[0.9995178,0.00009679677,0.00002808433,0.0000884401,0.0002138886,0.00005500417],"domain_scores_gemma":[0.9988594,0.0004795384,0.00006176323,0.00008346473,0.0004049489,0.0001107833],"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":[0.00155158,0.0002104379,0.003650723,0.0002440953,0.00003152016,0.0001795674,0.00003204591,0.003321015,0.3884096,0.0008435679,0.003567481,0.5979583],"study_design_scores_gemma":[0.0002047909,0.001732262,0.04076867,0.00009039896,0.0002008787,0.001679228,0.0001575337,0.3010417,0.6301562,0.003658445,0.02020161,0.0001083029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5444233,0.008923497,0.4188551,0.001183782,0.0005560722,0.0005237555,0.001210185,0.008025791,0.01629843],"genre_scores_gemma":[0.7817074,0.001346037,0.207473,0.0003120016,0.0002623928,0.0001351307,0.00146598,0.0002413856,0.007056609],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007658463,"threshold_uncertainty_score":0.0256201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05160292578650467,"score_gpt":0.2628288248486828,"score_spread":0.2112258990621781,"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."}}