{"id":"W3106874126","doi":"10.1111/ejn.15056","title":"Shared internal models for feedforward and feedback control of arm dynamics in non‐human primates","year":2020,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Canadian Institutes of Health Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Canada Research Chairs","keywords":"Feed forward; Forearm; Elbow; Kinematics; Dynamics (music); Inverse dynamics; Control theory (sociology); Work (physics); Physical medicine and rehabilitation; Torque; Human arm; Reduction (mathematics); Exoskeleton; Motor control; Shoulder joint; Computer science; Reflex; Stretch reflex; Electromyography; Simulation; Psychology; Artificial intelligence; Neuroscience; Medicine; Anatomy; Mathematics; Physics; Control (management); Engineering; Control engineering","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":[0.0003247989,0.000490086,0.000446389,0.0003108911,0.0004733514,0.001098181,0.0007291058,0.0007365335,0.002525468],"category_scores_gemma":[0.0008796221,0.0004217015,0.0007978517,0.0001921154,0.001262584,0.0007860977,0.001012633,0.0008619521,0.0004808641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006930039,"about_ca_system_score_gemma":0.000552208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006603634,"about_ca_topic_score_gemma":0.003574157,"domain_scores_codex":[0.9998548,0.00003908958,0.000007311727,0.00004222248,0.00003575371,0.00002081652],"domain_scores_gemma":[0.9997981,0.00004765429,0.00005524137,0.0000442337,0.00003519928,0.00001962871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005803562,0.0000565879,0.002242497,0.0001038038,0.0001221249,0.0004872777,0.001059987,0.8101044,0.01130421,0.1509998,0.0009155166,0.02254574],"study_design_scores_gemma":[0.00001661295,0.00006131156,0.001375172,0.00001432265,0.00002371733,0.0001123454,0.00006916124,0.9255292,0.0005773919,0.0700236,0.002181808,0.00001523926],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2326835,0.0009508883,0.7159364,0.001267931,0.00009750279,0.00006839535,0.0002213112,0.000971999,0.04780208],"genre_scores_gemma":[0.9780093,0.0003184048,0.01527065,0.0000681462,0.00003328422,0.0001278596,0.00006871369,0.00006854202,0.006035134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006603634,"threshold_uncertainty_score":0.01313037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04471994391806897,"score_gpt":0.2617039827134341,"score_spread":0.2169840387953651,"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."}}