{"id":"W2106330465","doi":"10.1177/102986490701100203","title":"Performance Analysis and Chopin's Mazurkas","year":2007,"lang":"en","type":"article","venue":"Musicae Scientiae","topic":"Music and Audio Processing","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conjunction (astronomy); Rhythm; Psychology; Quarter (Canadian coin); Cognitive psychology; Computer science; History; Aesthetics; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000861285,0.0001069858,0.0001462034,0.0004073679,0.000339891,0.0003311949,0.000543113,0.00003710739,0.0000549819],"category_scores_gemma":[0.00001793105,0.00009242915,0.0000619781,0.00257083,0.0001347337,0.0006014285,0.0002897373,0.00008783283,0.00003816861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001763236,"about_ca_system_score_gemma":0.00003296467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001284681,"about_ca_topic_score_gemma":0.00002812662,"domain_scores_codex":[0.998611,0.0000125474,0.0001803308,0.0004703256,0.0003445127,0.0003813079],"domain_scores_gemma":[0.9992507,0.00003071822,0.00007928939,0.000425445,0.00006594142,0.0001479619],"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":[0.00001025279,0.00009747516,0.07107605,0.00006354754,0.0001541529,0.00003386252,0.003134981,0.0001096022,0.008508923,0.0074282,0.002877967,0.906505],"study_design_scores_gemma":[0.000444492,0.00007621043,0.8475702,0.00003363862,0.0001281208,0.00002507672,0.00004817863,0.08913763,0.0150249,0.0004341959,0.04655211,0.0005252865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6094567,0.00007491986,0.380828,0.0004858284,0.0002956492,0.00004019319,4.163597e-7,0.00008619973,0.008732063],"genre_scores_gemma":[0.9701188,0.000006895909,0.02810382,0.001025659,0.00008779767,0.000001377511,0.000001332857,0.000003766911,0.0006506181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9059797,"threshold_uncertainty_score":0.3769151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009112719709673617,"score_gpt":0.2268851429132917,"score_spread":0.2177724232036181,"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."}}