{"id":"W4223897046","doi":"10.1093/oxfordhb/9780190058869.013.30","title":"Motion Capture of Music Performances","year":2022,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Motion capture; Violin; Movement (music); Guitar; Computer science; Animation; Match moving; BitTorrent tracker; Motion (physics); Piano; Human–computer interaction; Artificial intelligence; Computer graphics (images); Acoustics; Art; Eye tracking; Aesthetics","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":[0.0001655565,0.0004404461,0.0002372604,0.001171199,0.0002924641,0.0008918368,0.000469534,0.0005335357,0.02128434],"category_scores_gemma":[0.000429735,0.0001548242,0.0002769025,0.001221659,0.0002264061,0.0005887151,0.0006781788,0.0004099438,0.004597426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003490873,"about_ca_system_score_gemma":0.0002472308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001510834,"about_ca_topic_score_gemma":0.002891209,"domain_scores_codex":[0.9998617,0.00001432508,0.000004960435,0.00003167253,0.00007482399,0.00001237644],"domain_scores_gemma":[0.9998322,0.00006016016,0.000008711458,0.00002225122,0.00006378562,0.00001296866],"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":[0.0001446225,0.00005015673,0.0006952813,0.001231577,0.00002923466,0.0002893917,0.0008605999,0.005147968,0.09998175,0.01363262,0.04794135,0.8299955],"study_design_scores_gemma":[0.00003624711,0.0002404469,0.01769002,0.001096756,0.00004607585,0.001590976,0.0006025145,0.01774062,0.04834517,0.00459553,0.9079233,0.00009238008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06704607,0.03420692,0.32923,0.001210285,0.001553818,0.0005928869,0.005389195,0.004466502,0.5563044],"genre_scores_gemma":[0.292389,0.02658482,0.1317187,0.001030273,0.0006865821,0.000487884,0.008262204,0.001008013,0.5378325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02128434,"threshold_uncertainty_score":0.07120323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248199033599995,"score_gpt":0.1835640314588436,"score_spread":0.1610820411228437,"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."}}