{"id":"W1976578234","doi":"10.1152/jn.00944.2010","title":"Postural adjustments for online corrections of arm movements in standing humans","year":2011,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Physical medicine and rehabilitation; Kinematics; Leg muscle; Movement (music); Electromyography; Displacement (psychology); Psychology; Trajectory; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001801159,0.0003728376,0.0002418419,0.0002745109,0.0001915807,0.0003541874,0.000127883,0.0004197727,0.001443255],"category_scores_gemma":[0.00192771,0.0002229308,0.0001494561,0.0001138471,0.0002477612,0.0002458931,0.0001978051,0.0002020892,0.0003064221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006403136,"about_ca_system_score_gemma":0.0001298106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007818733,"about_ca_topic_score_gemma":0.0009849773,"domain_scores_codex":[0.9998633,0.00002862452,0.00001242805,0.0000371021,0.00004305479,0.00001558983],"domain_scores_gemma":[0.9995263,0.0001339704,0.0001738601,0.00005019926,0.00008311451,0.00003252781],"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":[0.0008489275,0.0001546383,0.05124956,0.0001676835,0.00009482549,0.0008805295,0.0007013311,0.001076855,0.8672169,0.000180523,0.0002193279,0.07720889],"study_design_scores_gemma":[0.00004086496,0.001267416,0.9704548,0.00004037101,0.0000509919,0.001591117,0.0001911574,0.004198359,0.02098218,0.0003822077,0.0007720698,0.00002855834],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899458,0.0003263226,0.008422667,0.00003820823,0.00001988911,0.00002906704,0.00007349085,0.0001224358,0.001021929],"genre_scores_gemma":[0.9973512,0.00007829552,0.002143947,0.00002418562,0.00001511841,0.00001346525,0.00006434968,0.00000984549,0.0002995835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001443255,"threshold_uncertainty_score":0.004828215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09968172532352246,"score_gpt":0.3062336616899364,"score_spread":0.2065519363664139,"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."}}