{"id":"W2080487795","doi":"10.1038/35106566","title":"The central nervous system stabilizes unstable dynamics by learning optimal impedance","year":2001,"lang":"en","type":"article","venue":"Nature","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":1119,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"National Institute on Aging; Japan Science and Technology Agency; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Whitehall Foundation","keywords":"Control theory (sociology); Electrical impedance; Dynamics (music); Impedance control; Computer science; Mechanical impedance; Slip (aerodynamics); Stability (learning theory); Physics; Mechanics; Classical mechanics; Simulation; Control (management); Acoustics; Artificial intelligence","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":[0.0002609312,0.0003108152,0.000259162,0.0001784255,0.0002668124,0.0005983496,0.0003003508,0.0003654223,0.001295002],"category_scores_gemma":[0.001914122,0.0001946494,0.0001814586,0.0001229534,0.0005742925,0.0006566732,0.0006301197,0.0006061153,0.0003080278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002707284,"about_ca_system_score_gemma":0.0002828241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008026291,"about_ca_topic_score_gemma":0.0006204072,"domain_scores_codex":[0.999887,0.00002488393,0.000008122454,0.0000246516,0.00003528526,0.00002001807],"domain_scores_gemma":[0.9996487,0.0001644151,0.0000695043,0.00003798705,0.0000584713,0.00002089843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006134309,0.0001146215,0.002732701,0.0001979004,0.0001029317,0.0003109488,0.0004419524,0.5967189,0.2337762,0.04903485,0.001218619,0.114737],"study_design_scores_gemma":[0.00004955244,0.0001818433,0.001596188,0.00001661459,0.00002245462,0.00009979625,0.00004213253,0.9534504,0.0123671,0.03092249,0.001230983,0.00002042141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2578408,0.0002881888,0.7330683,0.0004950521,0.0000992563,0.00003282607,0.00002282473,0.0005547917,0.007598048],"genre_scores_gemma":[0.9877828,0.00008603458,0.01039003,0.00003332115,0.00001418897,0.00001692794,0.000008700727,0.00003042728,0.001637625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001295002,"threshold_uncertainty_score":0.004332185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005983993020339115,"score_gpt":0.2222205806723636,"score_spread":0.2162365876520245,"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."}}