{"id":"W2156167743","doi":"10.1109/iembs.2007.4353429","title":"Formation of an Internal Model of Environment Dynamics During Upper Limb Reaching Movements: A Fuzzy Approach","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Fuzzy logic; Trajectory; Control theory (sociology); Internal model; Computer science; Fuzzy control system; Mechanism (biology); Field (mathematics); Adaptive neuro fuzzy inference system; Artificial intelligence; Movement (music); Simulation; Control engineering; Engineering; Control (management); Mathematics; Physics","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":[0.0002853759,0.0001158672,0.0001516048,0.0001362547,0.00006176812,0.00003272459,0.0002258,0.00005138402,0.000005242629],"category_scores_gemma":[0.0000822069,0.0001096208,0.00004412973,0.00006711533,0.00006129696,0.0008464831,0.00006713514,0.0001235178,0.000001278906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009039815,"about_ca_system_score_gemma":0.00001491898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001663365,"about_ca_topic_score_gemma":0.000001659731,"domain_scores_codex":[0.9988481,0.000006708394,0.0003881753,0.0002385664,0.0003214368,0.0001969926],"domain_scores_gemma":[0.9994493,0.0000144787,0.0003249637,0.00008211203,0.00006540216,0.00006380751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000126321,0.0001294158,0.0004320655,0.0001176817,0.000002405059,2.479719e-7,0.003444555,0.000541318,0.9726858,0.01770081,2.071212e-7,0.004819202],"study_design_scores_gemma":[0.0003877324,0.00009598012,0.001952027,0.00004595193,0.000006635494,0.000004088271,0.00111567,0.7594806,0.2348484,0.001968903,0.000002014291,0.00009204038],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8153133,0.000002958175,0.1778429,0.00001503176,0.0000175328,0.0001866445,0.000007644735,0.00002035091,0.006593634],"genre_scores_gemma":[0.9961072,0.00001518448,0.003649353,0.00003276299,0.00001801429,0.00001153931,0.000004598157,0.00001011694,0.0001512426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7589393,"threshold_uncertainty_score":0.4470206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03525171967215736,"score_gpt":0.2362543975296371,"score_spread":0.2010026778574798,"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."}}