{"id":"W1997687860","doi":"10.1371/journal.pcbi.1003177","title":"Priors Engaged in Long-Latency Responses to Mechanical Perturbations Suggest a Rapid Update in State Estimation","year":2013,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science; Perturbation (astronomy); Prior probability; Control theory (sociology); Sensory system; Internal model; Physical medicine and rehabilitation; Latency (audio); Motor system; Kalman filter; Electromyography; Simulation; Artificial intelligence; Psychology; Neuroscience; Physics; Medicine; Bayesian probability","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":[0.0003783472,0.0001346605,0.0001905824,0.0004117096,0.0001267546,0.00004095868,0.0001639381,0.00006967985,0.0001764846],"category_scores_gemma":[0.00315806,0.0001249506,0.00003104427,0.0004343837,0.0000491728,0.0002300421,0.00004868937,0.0002968327,0.0003866118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007508969,"about_ca_system_score_gemma":0.00009462693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008377933,"about_ca_topic_score_gemma":0.00007700453,"domain_scores_codex":[0.9975992,0.00114288,0.0004275401,0.0004094308,0.0001550073,0.0002659682],"domain_scores_gemma":[0.997407,0.00223134,0.00009209719,0.0001058077,0.00008101862,0.00008272182],"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":[0.0008263678,0.001236618,0.01594839,0.00004592168,0.00002343916,0.00006364455,0.004243241,0.2202877,0.6525641,0.04244311,0.0001203599,0.06219714],"study_design_scores_gemma":[0.0009908713,0.00021614,0.3756542,0.00002710772,0.000003373482,0.000006504777,0.00003284678,0.5842751,0.001580767,0.03694482,0.00006426681,0.0002039602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575539,0.00001609115,0.03686961,0.004578336,0.00009284942,0.0007527068,0.00003070625,0.0000587106,0.0000470911],"genre_scores_gemma":[0.9926893,0.000009629972,0.005544045,0.001384501,0.00001713276,0.0002107788,0.00007333743,0.00001123157,0.00006003918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6509833,"threshold_uncertainty_score":0.5095337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780562465491599,"score_gpt":0.2762885300841833,"score_spread":0.2384829054292673,"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."}}