{"id":"W2060294912","doi":"10.1145/1065385.1065488","title":"Metadata for phonograph records","year":2005,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Phonograph; Metadata; Computer science; Schema (genetic algorithms); Data element; Metadata repository; Meta Data Services; World Wide Web; Information retrieval; Engineering","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":[0.004502847,0.0009356246,0.001059217,0.008920931,0.00225776,0.007175058,0.00261788,0.001856441,0.02563974],"category_scores_gemma":[0.0137494,0.001050198,0.001130017,0.006568476,0.001126543,0.01321587,0.005435652,0.003212193,0.01937862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002056635,"about_ca_system_score_gemma":0.004577598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007885263,"about_ca_topic_score_gemma":0.008668976,"domain_scores_codex":[0.995306,0.0005003337,0.001342793,0.0007056398,0.001911485,0.0002338608],"domain_scores_gemma":[0.9843996,0.002043585,0.00115323,0.006361728,0.005203313,0.0008386952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006567361,0.0004204377,0.0121267,0.00205717,0.0001455551,0.001298392,0.002556462,0.004117688,0.030898,0.1930288,0.2707054,0.4819886],"study_design_scores_gemma":[0.00006183318,0.00007467658,0.002553711,0.0004973638,0.00009133019,0.001080497,0.000570389,0.00503851,0.01418095,0.02529766,0.9504052,0.000147958],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.007925733,0.001535001,0.800575,0.001871325,0.001498714,0.001543984,0.1111918,0.03872818,0.03513035],"genre_scores_gemma":[0.05997162,0.003656376,0.555806,0.001584125,0.0008675722,0.001930204,0.3068305,0.01074448,0.05860916],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02563974,"threshold_uncertainty_score":0.08577347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298165826415102,"score_gpt":0.2697672015638766,"score_spread":0.2399506189223664,"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."}}