{"id":"W3093887186","doi":"10.1523/jneurosci.0999-20.2020","title":"Structure of Population Activity in Primary Motor Cortex for Single Finger Flexion and Extension","year":2020,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"National Institute of Neurological Disorders and Stroke; Canada Research Chairs; Canada First Research Excellence Fund; Fondation Brain Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Primary motor cortex; Functional magnetic resonance imaging; Neuroscience; Population; Electrophysiology; Motor cortex; Motor control; Psychology; Extension (predicate logic); Communication; Computer science; Medicine","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":[0.0001109227,0.00007858154,0.0001857249,0.00009197949,0.00004891347,0.00004018147,0.0001878757,0.00003148982,9.517564e-7],"category_scores_gemma":[0.0007605884,0.00006173405,0.00004190834,0.000222903,0.00007713096,0.0004884498,0.00006132158,0.0001435547,6.144676e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000205854,"about_ca_system_score_gemma":0.00002476055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000022281,"about_ca_topic_score_gemma":7.005422e-7,"domain_scores_codex":[0.9990571,0.00006388645,0.0002657215,0.00022728,0.0002654962,0.0001204813],"domain_scores_gemma":[0.9992605,0.0001888429,0.0003642897,0.00006932757,0.00004641883,0.00007057042],"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":[0.0002128956,0.00004426358,0.0008826815,0.00003523288,1.759953e-7,0.00001006814,0.0001375089,0.0001951873,0.9959565,0.00001115512,0.00002579059,0.002488521],"study_design_scores_gemma":[0.0003223688,0.00107702,0.3268316,0.00004920584,0.000003278843,0.0001021192,0.000004830033,0.01247857,0.658842,0.0001400819,0.00008568372,0.00006320148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976344,0.00001752746,0.00111608,0.0007097877,0.0003727956,0.0001227082,0.000009445236,0.000005784542,0.00001154145],"genre_scores_gemma":[0.9980993,0.00001022076,0.0006082564,0.001209158,0.00005944732,2.120036e-7,1.080155e-7,0.000005472627,0.000007806425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3371145,"threshold_uncertainty_score":0.2517441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05292070514580526,"score_gpt":0.2875844253130504,"score_spread":0.2346637201672451,"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."}}