{"id":"W4409995859","doi":"10.47513/mmd.v17i2.969","title":"When Music is Enough","year":2025,"lang":"en","type":"article","venue":"Music and Medicine","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Wilfrid Laurier University; University Health Network","funders":"","keywords":"Humanities; Art; Political science","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":[0.002809879,0.0004015274,0.0004788912,0.001115869,0.009116751,0.01187761,0.0008028774,0.005231325,0.0246282],"category_scores_gemma":[0.01166404,0.0002029728,0.0004044824,0.0006036527,0.01740612,0.01143762,0.009134131,0.005619423,0.005015471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0018698,"about_ca_system_score_gemma":0.001969939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001875634,"about_ca_topic_score_gemma":0.002570808,"domain_scores_codex":[0.9956694,0.001624082,0.0001719965,0.0004950517,0.001333614,0.0007058861],"domain_scores_gemma":[0.9970715,0.0007932643,0.0003494198,0.0003920832,0.0004272025,0.0009665556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002931386,0.0001381009,0.005179339,0.000321839,0.00005025596,0.001818521,0.1894887,0.00008541076,0.003352118,0.6327361,0.0661734,0.100363],"study_design_scores_gemma":[0.00003492533,0.0001218481,0.003090323,0.0005312942,0.00002927707,0.002050504,0.1005925,0.00009063391,0.0006719831,0.1281403,0.7646021,0.00004428866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08201409,0.01021647,0.008896811,0.1742114,0.008319094,0.00007603519,0.0001055391,0.0002363098,0.7159242],"genre_scores_gemma":[0.8791832,0.004185493,0.002538699,0.04145417,0.002241779,0.00008440487,0.00008122565,0.0001733874,0.07005757],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0246282,"threshold_uncertainty_score":0.08238953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491892010356431,"score_gpt":0.2551020149624061,"score_spread":0.2301830948588418,"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."}}