{"id":"W4243585391","doi":"10.29173/cais692","title":"Music Recommender Systems and Genre Bias","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Music and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Recommender system; Computer science; Categorization; Humanities; Art; Information retrieval; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.008857773,0.0004103371,0.001244393,0.002712212,0.001691539,0.005890172,0.001560116,0.001772471,0.007559666],"category_scores_gemma":[0.04698468,0.000532797,0.0006177677,0.002698474,0.002020219,0.006365877,0.003214095,0.001936721,0.002223733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002373625,"about_ca_system_score_gemma":0.001290916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006474894,"about_ca_topic_score_gemma":0.004478256,"domain_scores_codex":[0.9943421,0.002246808,0.0003423451,0.001187607,0.001620363,0.0002608192],"domain_scores_gemma":[0.9773078,0.01291953,0.001940843,0.003703178,0.003304529,0.0008241698],"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":[0.0006344467,0.0002549207,0.05616423,0.0006122602,0.0003558033,0.0002762059,0.004881323,0.01005249,0.005739683,0.3631937,0.01462825,0.5432068],"study_design_scores_gemma":[0.0004007593,0.0004612049,0.04978487,0.0004412142,0.0003301094,0.001606504,0.003564012,0.1763125,0.006313602,0.6125519,0.1479979,0.0002354288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.360603,0.02226717,0.4490289,0.02664047,0.001438235,0.000409757,0.001315405,0.002003655,0.1362935],"genre_scores_gemma":[0.8926373,0.003593323,0.07849734,0.002059928,0.001235538,0.0001666291,0.000746779,0.0002251393,0.02083805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008857773,"threshold_uncertainty_score":0.04684496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07285352405953807,"score_gpt":0.251277983106704,"score_spread":0.1784244590471659,"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."}}