{"id":"W1986864531","doi":"10.1152/jn.91135.2008","title":"Reaching to Multiple Targets When Standing: The Spatial Organization of Feedforward Postural Adjustments","year":2009,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Feed forward; Ground reaction force; Physical medicine and rehabilitation; Orientation (vector space); Constraint (computer-aided design); Movement (music); Computer science; Psychology; Communication; Mathematics; Physics; Kinematics; Medicine; Acoustics; Engineering; Geometry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000166288,0.0001037758,0.0002982995,0.00009475453,0.0002590623,0.000004261873,0.0002326528,0.0000868461,0.00001631752],"category_scores_gemma":[0.0004962755,0.00006607177,0.0000738766,0.0001394685,0.00002323614,0.0001151307,0.0000575415,0.0004725036,0.00002076925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006628739,"about_ca_system_score_gemma":0.00007118516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003832583,"about_ca_topic_score_gemma":0.000005943979,"domain_scores_codex":[0.9983273,0.000533254,0.0006165497,0.0001123633,0.0001781426,0.0002323729],"domain_scores_gemma":[0.9985328,0.0001880864,0.0007025264,0.0001507287,0.0003488293,0.00007700751],"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":[0.0003491528,0.0002118004,0.006887395,0.00002616418,0.00003290078,0.000009679249,0.002482937,0.00005343603,0.9849916,0.000142531,0.001764045,0.003048354],"study_design_scores_gemma":[0.0009373209,0.000906269,0.9957457,0.00007409894,0.00003061736,0.00001043904,0.0002864898,0.0001843776,0.00009216578,0.0008446002,0.0008279905,0.00005995793],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957689,0.00002503528,0.001023265,0.001659718,0.001101229,0.0002661837,0.000007154877,0.00001476876,0.0001337694],"genre_scores_gemma":[0.9970978,0.00006940895,0.0004162691,0.00174177,0.0005651386,0.000001071758,0.000008799925,0.00001309924,0.00008657766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9888583,"threshold_uncertainty_score":0.2694329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02630038590799288,"score_gpt":0.3268165877949599,"score_spread":0.300516201886967,"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."}}