{"id":"W2887682761","doi":"10.1145/3212721.3212878","title":"Kinetic Analysis of Hip Motion During Piano Playing","year":2018,"lang":"en","type":"article","venue":"","topic":"Musicians’ Health and Performance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Piano; Rhythm; Expression (computer science); Dynamics (music); Motion (physics); Action (physics); Computer science; Movement (music); Acoustics; Artificial intelligence; Physics","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":[0.000212998,0.0002522813,0.0002627156,0.0017843,0.000199129,0.0003625612,0.000185409,0.0002134308,0.001914648],"category_scores_gemma":[0.001310337,0.0001323509,0.0001640218,0.001067817,0.0001999269,0.0001651983,0.0002590908,0.000142911,0.0002857257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011703,"about_ca_system_score_gemma":0.0001090415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00224426,"about_ca_topic_score_gemma":0.003269958,"domain_scores_codex":[0.9998549,0.00002263602,0.00001185222,0.00003153416,0.00005310842,0.00002592638],"domain_scores_gemma":[0.9996967,0.000103202,0.00006710186,0.00002201573,0.00006153292,0.00004951633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002829722,0.0002134757,0.1703447,0.0007699824,0.0002858053,0.001258426,0.002073243,0.003289084,0.5891802,0.0006149274,0.0009161906,0.2282243],"study_design_scores_gemma":[0.00002363957,0.000280944,0.9794633,0.00002641429,0.00004851404,0.001008182,0.0006502148,0.006611995,0.01094471,0.00009939809,0.0008080151,0.00003456743],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940007,0.0002509353,0.003942477,0.00001969545,0.00001069531,0.0000315854,0.0004853146,0.0000436796,0.001214909],"genre_scores_gemma":[0.9971541,0.0001496655,0.001671789,0.000006520939,0.00001159496,0.00002467898,0.0004102266,0.000009458685,0.0005618703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00224426,"threshold_uncertainty_score":0.006405115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262696857606251,"score_gpt":0.3066548246825563,"score_spread":0.2803851389219312,"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."}}