{"id":"W2266669623","doi":"10.1371/journal.pone.0147731","title":"Tracking Plasticity: Effects of Long-Term Rehearsal in Expert Dancers Encoding Music to Movement","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University; Universities Space Research Association","keywords":"Neuroplasticity; Dance; Motor learning; Motor skill; Psychology; Functional magnetic resonance imaging; Neural correlates of consciousness; Neuroscience; Ballet; Cognitive psychology; Artificial neural network; Computer science; Physical medicine and rehabilitation; Artificial intelligence; Medicine; Cognition","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000079322,0.00007641147,0.0001553681,0.0001289202,0.00002370534,0.000006897389,0.00007233952,0.00005645311,0.0007990972],"category_scores_gemma":[0.0001658241,0.00006525247,0.00001945024,0.0001666719,0.00001785174,0.0001041095,0.00001973416,0.00004859641,0.00008507564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437584,"about_ca_system_score_gemma":0.00001358038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003061753,"about_ca_topic_score_gemma":0.00005635375,"domain_scores_codex":[0.9991786,0.0000586708,0.0002257402,0.0001894064,0.0001902336,0.0001573054],"domain_scores_gemma":[0.9995047,0.0001893576,0.0000774045,0.000129608,0.00005030808,0.00004864964],"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":[0.00008432714,0.0008959391,0.2396443,0.00008751754,0.00007772005,0.000009253587,0.00418858,0.00001118679,0.7346728,0.0005277137,0.0001884051,0.01961229],"study_design_scores_gemma":[0.00146455,0.0002144128,0.7362874,0.0009384385,0.00001703501,2.934266e-7,0.0001044541,0.00008261583,0.2606942,0.00003087995,0.00002506864,0.0001406947],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850309,0.00002572439,0.01337296,0.0003822925,0.0002150142,0.000295945,0.000001802982,0.00003528296,0.0006400268],"genre_scores_gemma":[0.9983157,0.00001438685,0.0003160512,0.0006457199,0.0001067415,0.00006122731,0.000001982852,0.00001461706,0.000523561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4966431,"threshold_uncertainty_score":0.8749554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08614019915638647,"score_gpt":0.3020288454031723,"score_spread":0.2158886462467858,"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."}}