{"id":"W2530931683","doi":"10.1371/journal.pone.0163695","title":"Time Course of Reach Adaptation and Proprioceptive Recalibration during Visuomotor Learning","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Proprioception; Motor learning; Hand position; Physical medicine and rehabilitation; Sensory system; Psychology; Visual feedback; Motor skill; Adaptation (eye); Cognitive psychology; Computer science; Communication; Artificial intelligence; Medicine; Neuroscience","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":[0.0002229059,0.000157548,0.0003175485,0.0001719815,0.00007654339,0.0001984561,0.0001563089,0.0002043303,0.001747807],"category_scores_gemma":[0.001452521,0.0001227064,0.0001289107,0.0001356998,0.0002213564,0.0002401906,0.0002718211,0.0004010776,0.0002387554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001609514,"about_ca_system_score_gemma":0.0001502082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134787,"about_ca_topic_score_gemma":0.001745273,"domain_scores_codex":[0.9998478,0.00001788547,0.00001060777,0.00003205118,0.00004954223,0.0000421144],"domain_scores_gemma":[0.9995659,0.0001385781,0.0001118018,0.0000478956,0.00006320375,0.00007270892],"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":[0.001069858,0.0001660288,0.005559347,0.00007312151,0.00001698759,0.00004502743,0.0002002012,0.0005111371,0.9692879,0.00006301107,0.00005880014,0.02294866],"study_design_scores_gemma":[0.00002906581,0.002194914,0.7295092,0.00002247804,0.00003232414,0.0001637299,0.0001852036,0.004394921,0.2626971,0.0002077679,0.0005327868,0.0000303886],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983678,0.000166512,0.0008206164,0.000008392819,0.000003511058,0.00001046607,0.00004422715,0.00002163629,0.0005566996],"genre_scores_gemma":[0.9988074,0.0000792873,0.0003660495,0.000005563577,0.000001427113,0.00001712714,0.00007546083,0.000008185185,0.0006395473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001747807,"threshold_uncertainty_score":0.005847037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04704180944453519,"score_gpt":0.2201977279893062,"score_spread":0.173155918544771,"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."}}