{"id":"W2078344101","doi":"10.1152/jn.91324.2008","title":"Integration of Predictive Feedforward and Sensory Feedback Signals for Online Control of Visually Guided Movement","year":2009,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Feed forward; Computer science; Sensory system; SIGNAL (programming language); Motor control; Compensation (psychology); Trajectory; Movement (music); Internal model; Displacement (psychology); Mechanism (biology); Control theory (sociology); Artificial intelligence; Control (management); Computer vision; Psychology; Control engineering; Neuroscience; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002316798,0.0003349584,0.0002027075,0.0001354505,0.00015326,0.0004020816,0.0002695917,0.0002995301,0.0008671246],"category_scores_gemma":[0.001118609,0.0002717574,0.0002333988,0.0001139439,0.0003410644,0.0005163139,0.0003055097,0.0003182719,0.0001211447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002437187,"about_ca_system_score_gemma":0.0004773424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00164303,"about_ca_topic_score_gemma":0.001830878,"domain_scores_codex":[0.9998806,0.00002149087,0.000006108611,0.00002456559,0.00004822147,0.00001899454],"domain_scores_gemma":[0.9997132,0.0001422442,0.00003912342,0.00004076916,0.00004167026,0.00002295586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005105621,0.0001639151,0.003347108,0.0001313562,0.00007153405,0.0004975836,0.000261769,0.231284,0.6508017,0.009818885,0.0003689828,0.1027427],"study_design_scores_gemma":[0.00003429335,0.0001918627,0.00697486,0.000007412795,0.00002682998,0.0001781322,0.00002150198,0.9577483,0.03002501,0.004309305,0.0004588746,0.00002364483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5139253,0.0002670174,0.4819549,0.0001629371,0.00004344697,0.00003591809,0.00003437744,0.0007070742,0.002868992],"genre_scores_gemma":[0.9887486,0.00003902329,0.01085588,0.000008098142,0.000006443251,0.00001203911,0.000008901518,0.00001274947,0.0003081668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00164303,"threshold_uncertainty_score":0.003266871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045150147983953,"score_gpt":0.3028192648823367,"score_spread":0.2623677634024971,"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."}}