{"id":"W4403559232","doi":"10.1016/j.mlwa.2024.100593","title":"Trends in audio scene source counting and analysis","year":2024,"lang":"en","type":"article","venue":"Machine Learning with Applications","topic":"Music and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Toronto Metropolitan University","keywords":"Computer science; Audio analyzer; Audio signal processing; Speech recognition; Audio signal; Speech coding","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":[0.0002358115,0.00009263301,0.0001258366,0.0004869498,0.0001953301,0.0003408845,0.0001888548,0.00002520323,0.00002051488],"category_scores_gemma":[0.000006696677,0.00007595115,0.00002894775,0.003102895,0.00003375575,0.0001810095,0.00008147283,0.0002520736,0.00001067036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002018261,"about_ca_system_score_gemma":0.00002258673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001040223,"about_ca_topic_score_gemma":0.00007220791,"domain_scores_codex":[0.9991913,0.00002484393,0.0001273248,0.0003719465,0.0001254559,0.0001590824],"domain_scores_gemma":[0.9996379,0.00006503105,0.00004513461,0.0001888768,0.00001872742,0.00004433656],"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":[0.000001258778,0.00001702892,0.09481897,0.00003379081,0.00006480328,0.000004396383,0.0009428316,0.01207629,0.0001188416,0.006112438,0.00005707463,0.8857523],"study_design_scores_gemma":[0.00008506592,0.0000123815,0.02565026,0.0000292052,0.00005511523,0.00001080333,0.00001581807,0.9139197,0.00002220784,0.0001735334,0.05990059,0.0001252879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009429273,0.001064807,0.9845952,0.002106607,0.000007632684,0.00004755109,7.952382e-7,0.0002695062,0.002478593],"genre_scores_gemma":[0.9651481,0.00001177926,0.03275859,0.0001532707,0.00003509606,0.00005786346,0.00001663933,0.000009674176,0.001809011],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9557188,"threshold_uncertainty_score":0.3287157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007184374852122788,"score_gpt":0.2487650112451759,"score_spread":0.2415806363930531,"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."}}