{"id":"W2095018050","doi":"10.1525/mp.2009.26.4.335","title":"Music and Motion—How Music-Related Ancillary Body Movements Contribute to the Experience of Music","year":2009,"lang":"en","type":"article","venue":"Music Perception An Interdisciplinary Journal","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Motion (physics); Movement (music); Embodied cognition; Psychology; Torso; Perception; Musical; Kinematics; Communication; Motion capture; Gesture; Cognitive psychology; Performing arts; Music perception; Dynamics (music); Body posture; Computer science; Artificial intelligence; Physical medicine and rehabilitation; Aesthetics; Art; Visual arts; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008779081,0.0004314423,0.0004136777,0.000463203,0.001804814,0.0004384657,0.0009071616,0.0001320927,0.001307644],"category_scores_gemma":[0.0002285239,0.0003272131,0.000218131,0.0008827326,0.0005179941,0.00182544,0.0005271565,0.0006824067,0.00007036574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996847,"about_ca_system_score_gemma":0.00008595992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008386918,"about_ca_topic_score_gemma":0.00004126232,"domain_scores_codex":[0.9960521,0.0004420619,0.0007911396,0.0009485012,0.001025855,0.0007403689],"domain_scores_gemma":[0.997989,0.00006266974,0.0004407349,0.0007012351,0.000189771,0.0006165609],"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":[0.0001651551,0.0003318942,0.0001502712,0.000008668996,0.000004604189,0.00008832264,0.03731668,0.0001922685,0.9217752,0.0001242368,0.005868387,0.03397429],"study_design_scores_gemma":[0.003504698,0.004443079,0.9126346,0.0005754536,0.0001105075,0.003820816,0.03710677,0.01496791,0.008940138,0.006385448,0.005944861,0.001565765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988321,0.00001742071,0.003589473,0.004628764,0.002026613,0.0006266318,0.00003697109,0.00009471965,0.0006583779],"genre_scores_gemma":[0.9892874,0.00008331002,0.0001316957,0.009147311,0.000575009,0.00002554275,0.00000986605,0.00002900852,0.000710859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9128351,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04257298127879774,"score_gpt":0.3174081425394449,"score_spread":0.2748351612606472,"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."}}