{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002153414,0.0001891448,0.0001925001,0.000124387,0.00009598143,0.0001685126,0.0001731678,0.0002261513,0.002040845],"category_scores_gemma":[0.001545296,0.0001080298,0.0001099488,0.00005556862,0.0002545612,0.0001802372,0.0002460355,0.0003647039,0.0001652373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008701954,"about_ca_system_score_gemma":0.00009994442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008539228,"about_ca_topic_score_gemma":0.001680853,"domain_scores_codex":[0.9999076,0.00001778146,0.000007696632,0.00003182502,0.00001276921,0.00002226754],"domain_scores_gemma":[0.9997396,0.00009893971,0.0000466251,0.00003531318,0.00002752691,0.00005204844],"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":[0.003798338,0.000999309,0.004896053,0.000103347,0.00005688551,0.0001764808,0.0007166964,0.0004989518,0.9534403,0.00008263322,0.0001556059,0.03507544],"study_design_scores_gemma":[0.0002593985,0.01966877,0.7927121,0.00004340936,0.0001555596,0.0006141967,0.001025717,0.009972369,0.173165,0.0008136582,0.001518419,0.00005146983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992257,0.00004471413,0.000409024,0.00001625464,0.000004116257,0.00001127215,0.00002630359,0.00001165094,0.0002508261],"genre_scores_gemma":[0.9985092,0.00004211229,0.0005103356,0.00001405041,0.00000399819,0.0000298726,0.00005256526,0.000007188504,0.0008306078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002040845,"threshold_uncertainty_score":0.006827295,"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."}}