{"id":"W2155641922","doi":"10.1152/jn.00122.2012","title":"Can proprioceptive training improve motor learning?","year":2012,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; FP7 People: Marie-Curie Actions; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Proprioception; Physical medicine and rehabilitation; Motor learning; Psychology; Motor control; Stimulus (psychology); Neuroscience; Medicine; Cognitive psychology","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":[0.0008049369,0.0005348218,0.0008253909,0.0002948992,0.0001300828,0.0004753905,0.0007177684,0.001420847,0.004421173],"category_scores_gemma":[0.003115264,0.000154884,0.0004975548,0.0002326771,0.0007275548,0.00102804,0.0003462619,0.001281132,0.0008244554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002051359,"about_ca_system_score_gemma":0.0004234605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006091052,"about_ca_topic_score_gemma":0.001005962,"domain_scores_codex":[0.9997534,0.00007706524,0.00002121007,0.00005689023,0.00004164865,0.00004978511],"domain_scores_gemma":[0.9993697,0.0003227263,0.0001099099,0.00007253206,0.00005415459,0.00007089267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005778841,0.009112096,0.004996117,0.006731883,0.0009912209,0.0003629005,0.0002126843,0.002073672,0.06123997,0.00343048,0.008385982,0.8966841],"study_design_scores_gemma":[0.01410088,0.11325,0.3877621,0.01103324,0.005562063,0.003993287,0.001431487,0.02223534,0.1861692,0.1000856,0.1539074,0.0004694622],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7436755,0.1711062,0.01379018,0.04886489,0.00431095,0.0003562517,0.0005871396,0.0007001507,0.01660877],"genre_scores_gemma":[0.9089924,0.07342429,0.006526152,0.005069425,0.001711848,0.0002335551,0.0002135131,0.00005084194,0.003778032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004421173,"threshold_uncertainty_score":0.0147903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03829391335246325,"score_gpt":0.2608530000816977,"score_spread":0.2225590867292344,"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."}}