{"id":"W4415902235","doi":"10.1016/j.mlwa.2025.100785","title":"Multi-task learning for audio scene source counting and analysis","year":2025,"lang":"en","type":"article","venue":"Machine Learning with Applications","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Toronto Metropolitan University","keywords":"Task (project management); Limiting; Audio signal processing; Multi-source; Audio analyzer; Task analysis; Range (aeronautics)","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":[0.002480139,0.002627209,0.001484144,0.001820134,0.0007083252,0.001282889,0.002763602,0.001851458,0.003448855],"category_scores_gemma":[0.00751228,0.0004143029,0.001489952,0.001650056,0.0006571593,0.00246766,0.002221527,0.002795239,0.002556645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008562583,"about_ca_system_score_gemma":0.0011592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005402958,"about_ca_topic_score_gemma":0.007269021,"domain_scores_codex":[0.9984037,0.0004269472,0.00007602425,0.0005625564,0.0003334292,0.0001974019],"domain_scores_gemma":[0.9973727,0.001204344,0.0001859889,0.0004663466,0.0006012741,0.0001693524],"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":[0.0007880353,0.0007562157,0.00326552,0.0004429325,0.0002552266,0.0003221852,0.0001771428,0.1900621,0.02107712,0.002668253,0.01621863,0.7639665],"study_design_scores_gemma":[0.00003124528,0.0001343756,0.001126841,0.0000205551,0.00003711736,0.00009207308,0.0000758075,0.9814403,0.007508496,0.007398647,0.00211026,0.00002424277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04465742,0.001405182,0.9418668,0.0004364608,0.0002990441,0.0001703176,0.0009394943,0.00683555,0.003389711],"genre_scores_gemma":[0.5920075,0.0005752997,0.3933943,0.0005765839,0.0003775024,0.0002983847,0.005900177,0.0005847006,0.006285662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005402958,"threshold_uncertainty_score":0.01311636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007964149414611424,"score_gpt":0.2573255372453412,"score_spread":0.2493613878307298,"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."}}