{"id":"W7098130469","doi":"","title":"ISMIR 2008 – Session 5c – Rhythm and Meter ON RHYTHMIC PATTERN EXTRACTION IN BOSSA NOVA MUSIC","year":2010,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rhythm; Guitar; Piano; MIDI; Nova (rocket); String (physics); Nova scotia; Melody","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003076368,0.001000408,0.001319918,0.001300912,0.0007222851,0.001395662,0.0009859331,0.001442049,0.009007978],"category_scores_gemma":[0.003180543,0.0003257723,0.0007497797,0.001224652,0.0007142774,0.001363051,0.001594913,0.0006764998,0.003519931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003394396,"about_ca_system_score_gemma":0.00039707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002886596,"about_ca_topic_score_gemma":0.002830218,"domain_scores_codex":[0.9976419,0.0008705017,0.0001526628,0.0005264689,0.0005788449,0.0002296054],"domain_scores_gemma":[0.9986013,0.0005099084,0.00004840455,0.0002492103,0.000454206,0.0001370669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003023983,0.0006709219,0.005032457,0.001009001,0.0003488929,0.0003594707,0.001008921,0.005990507,0.2656685,0.001991587,0.02898778,0.6859079],"study_design_scores_gemma":[0.0005907622,0.004365535,0.1053974,0.0002473573,0.0006251921,0.002268613,0.001361276,0.1655594,0.5903441,0.003136032,0.1258648,0.0002395508],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5120907,0.008055518,0.4350676,0.001159592,0.00180803,0.0006402815,0.001574047,0.004008899,0.03559522],"genre_scores_gemma":[0.5527613,0.0037266,0.3694936,0.0004919101,0.001111242,0.000491354,0.006984731,0.001287992,0.06365138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009007978,"threshold_uncertainty_score":0.03013474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440710128540809,"score_gpt":0.2722858078122386,"score_spread":0.2478787065268305,"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."}}