{"id":"W4396936857","doi":"10.1101/2024.05.12.593756","title":"Parallel feedback processing for voluntary control: knowledge of spinal feedback in motor cortex","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Queen's University","funders":"","keywords":"Motor cortex; Feedback control; Control (management); Neuroscience; Motor control; Psychology; Computer science; Physical medicine and rehabilitation; Control engineering; Medicine; Artificial intelligence; Engineering","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":[0.0004092767,0.0003545251,0.0003444546,0.0002060984,0.0002520081,0.0009003193,0.0005817458,0.0006093081,0.002981741],"category_scores_gemma":[0.001520183,0.0002623421,0.0003784984,0.0001661024,0.0008576873,0.001731869,0.0007139559,0.0009182618,0.0003771267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005494012,"about_ca_system_score_gemma":0.0006785616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001959164,"about_ca_topic_score_gemma":0.001585978,"domain_scores_codex":[0.9998529,0.00003265714,0.000007401359,0.00004549175,0.00004317469,0.00001840522],"domain_scores_gemma":[0.9995868,0.0001500896,0.00007014268,0.00009727682,0.0000498562,0.00004587842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002789225,0.0001796504,0.003476808,0.0003741155,0.0002090107,0.0006136234,0.0002976321,0.4332317,0.2227208,0.2398527,0.003203587,0.09556145],"study_design_scores_gemma":[0.00001895063,0.00005946979,0.002741914,0.00003096276,0.00002940343,0.0001121504,0.00003345769,0.7140365,0.02040016,0.2604663,0.002043887,0.00002676209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2239923,0.0008435619,0.7540131,0.003103531,0.00014871,0.00002524717,0.0002278786,0.001066009,0.0165797],"genre_scores_gemma":[0.9621544,0.0004071021,0.03482285,0.00007004803,0.00003316227,0.00002153743,0.00006911623,0.00004926507,0.002372536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002981741,"threshold_uncertainty_score":0.009974957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446758947530836,"score_gpt":0.2552881024329038,"score_spread":0.2308205129575955,"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."}}