{"id":"W2398824927","doi":"10.5281/zenodo.1414857","title":"Melodic Similarity In Traditional French-Canadian Instrumental Dance Tunes.","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Melody; Dance; Similarity (geometry); Computer science; Instrumental music; Artificial intelligence; Speech recognition; Natural language processing; Art; Visual arts; Musical","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004189846,0.0003300791,0.000250879,0.001936962,0.001759966,0.001782364,0.0006035679,0.0004037578,0.01136857],"category_scores_gemma":[0.003113356,0.000099795,0.0002331125,0.001971733,0.000888656,0.0004893594,0.0007386383,0.0004500701,0.001090823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001906558,"about_ca_system_score_gemma":0.000991949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2672352,"about_ca_topic_score_gemma":0.4883282,"domain_scores_codex":[0.9996375,0.00004502282,0.00001689459,0.00009145375,0.0001249475,0.00008413792],"domain_scores_gemma":[0.9992,0.0001580263,0.00004422676,0.00006596842,0.000391447,0.0001403925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01152063,0.0003500838,0.1058722,0.001648403,0.0005362361,0.00293488,0.03900794,0.001921284,0.2621738,0.02725657,0.03570648,0.5110713],"study_design_scores_gemma":[0.00008336028,0.0002586121,0.9432527,0.0001243022,0.0001235211,0.001429307,0.01345757,0.002018538,0.006424586,0.001668618,0.03106955,0.00008935468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880315,0.002106612,0.003697965,0.0002525201,0.0002379836,0.00006602392,0.00185498,0.00018109,0.1035714],"genre_scores_gemma":[0.9923266,0.0002029464,0.0007294528,0.00003773723,0.00002345593,0.00001101538,0.0008501359,0.00003979215,0.005778898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7327647,"threshold_uncertainty_score":0.5313596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09096880169147785,"score_gpt":0.2351712681426964,"score_spread":0.1442024664512185,"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."}}