{"id":"W2116740732","doi":"10.1007/s00422-009-0348-z","title":"Concurrent adaptation of force and impedance in the redundant muscle system","year":2009,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Control theory (sociology); Computer science; Noise (video); Controller (irrigation); Adaptation (eye); Electrical impedance; Impedance control; Biological system; Neuroscience; Artificial intelligence; Control (management); Engineering; Psychology; Robot; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000185881,0.00006421428,0.0001027547,0.0000169732,0.00003268439,0.00001416705,0.0001137598,0.00004342689,0.000001498587],"category_scores_gemma":[0.0002427197,0.00003611595,0.00002244441,0.00009368184,0.00007415389,0.00002589511,0.00001122578,0.00006669329,0.000001790068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001074498,"about_ca_system_score_gemma":0.00000702527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009564132,"about_ca_topic_score_gemma":0.000004417305,"domain_scores_codex":[0.9992703,0.0001585177,0.0001889394,0.0001605947,0.0001105354,0.0001110637],"domain_scores_gemma":[0.9995667,0.0002286919,0.00008556318,0.00008214708,0.00001549605,0.00002140275],"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":[0.00004070798,0.0001408307,0.000516783,0.00002310473,0.000001004512,0.00001381688,0.001428456,0.0003840919,0.472634,0.2696878,0.000007028119,0.2551224],"study_design_scores_gemma":[0.001793272,0.002208123,0.7694122,0.0001258874,0.0000160883,0.00003787531,0.002152261,0.2061039,0.008709393,0.007321035,0.001789078,0.0003308424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996784,0.0002871391,0.001662817,0.0002224905,0.00005582003,0.000233537,0.000005866583,0.00001719556,0.0007311867],"genre_scores_gemma":[0.9995623,0.0001056328,0.00007564353,0.0001940738,0.0000266446,0.000006746514,0.000001262742,0.000001431961,0.00002624749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7688954,"threshold_uncertainty_score":0.1472766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06329847582130585,"score_gpt":0.2681040223277608,"score_spread":0.204805546506455,"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."}}