{"id":"W2359665709","doi":"10.1155/2016/7526135","title":"Motor Skill Acquisition Promotes Human Brain Myelin Plasticity","year":2016,"lang":"en","type":"article","venue":"Neural Plasticity","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Natural Sciences and Engineering Research Council of Canada; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"Myelin; White matter; Neuroplasticity; Neuroscience; Psychology; Diffusion MRI; Intraparietal sulcus; Motor skill; Central sulcus; Human brain; Motor learning; Coactivation; Dreyfus model of skill acquisition; Motor cortex; Medicine; Magnetic resonance imaging; Functional magnetic resonance imaging; Central nervous system; Electromyography; Stimulation","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":[0.00005485871,0.0002082013,0.0002519758,0.00008522832,0.0001893141,0.000020792,0.0001286225,0.00008495337,0.0002115343],"category_scores_gemma":[0.0004898224,0.0001416413,0.00009426829,0.0001381689,0.0001667292,0.0001711024,0.00008049259,0.0002021363,0.00008386828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000074931,"about_ca_system_score_gemma":0.00002260654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001155222,"about_ca_topic_score_gemma":0.000003353376,"domain_scores_codex":[0.9986719,0.00003279436,0.0002845867,0.0004414122,0.0002386726,0.0003306581],"domain_scores_gemma":[0.9989145,0.0004550616,0.0001066367,0.0002267205,0.0001063118,0.0001907705],"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":[0.0001154332,0.0002031992,0.004009667,0.00003351234,0.00000914948,0.00002617277,0.000016591,0.00000440303,0.9867616,0.001769884,0.004838364,0.002212021],"study_design_scores_gemma":[0.003344484,0.00202367,0.6090642,0.000468254,0.0001552521,0.0002949205,0.00001187661,0.003835928,0.3619476,0.01177549,0.006367953,0.000710415],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366509,0.000005369001,0.05530476,0.006365231,0.00005263847,0.0005506543,0.00009525876,0.0006093361,0.0003657975],"genre_scores_gemma":[0.9939641,0.000004096879,0.003823144,0.001105797,0.0002764372,0.000070959,0.00001455049,0.00003423542,0.0007066812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.624814,"threshold_uncertainty_score":0.5775963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04988203912802484,"score_gpt":0.3410955137630631,"score_spread":0.2912134746350383,"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."}}