{"id":"W2801174965","doi":"10.1152/jn.00313.2018","title":"Somatosensory perceptual training enhances motor learning by observing","year":2018,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research; National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Somatosensory system; Psychology; Neuroscience; Perception; Motor learning; Perceptual learning; Somatosensory evoked potential; Training (meteorology); Cognitive psychology; Communication; Physical medicine and rehabilitation; Medicine; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008442518,0.0001144146,0.0002496416,0.000106221,0.000167704,0.00001777332,0.0001841616,0.0001015895,0.002757148],"category_scores_gemma":[0.0002208891,0.0001012657,0.00009003335,0.0001411349,0.0001487897,0.0001782903,0.00002369601,0.0003581595,0.0003003175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002434782,"about_ca_system_score_gemma":0.00003779201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000039733,"about_ca_topic_score_gemma":4.065354e-7,"domain_scores_codex":[0.9986582,0.000376,0.0004485528,0.0001660893,0.0001370962,0.0002140156],"domain_scores_gemma":[0.9989039,0.0001603813,0.0004889047,0.000111798,0.0002590473,0.00007593176],"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":[0.0001391058,0.00006202601,0.0003845659,0.000004195688,0.00004289106,0.00001849324,0.004508604,0.00006668673,0.9838417,0.0001816006,0.003089651,0.007660444],"study_design_scores_gemma":[0.003900842,0.01200486,0.6226477,0.00009822156,0.0001180014,0.001321902,0.02521606,0.004891776,0.008306595,0.000644594,0.3199754,0.0008739978],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937298,0.00003357259,0.001930733,0.0003061761,0.002091248,0.00004013527,0.000001297618,0.00003273311,0.00183425],"genre_scores_gemma":[0.9946291,0.00003433359,0.0003014469,0.001065289,0.001318138,0.000001386344,0.000003062112,0.00002311289,0.002624159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9755352,"threshold_uncertainty_score":0.9981545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05955798562882827,"score_gpt":0.3164887561422803,"score_spread":0.256930770513452,"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."}}