{"id":"W2938863622","doi":"10.1016/j.isci.2019.04.008","title":"Cortical Correlates of Locomotor Muscle Synergy Activation in Humans: An Electroencephalographic Decoding Study","year":2019,"lang":"en","type":"article","venue":"iScience","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Core Research for Evolutional Science and Technology; Japan Science and Technology Agency; Japan Society for the Promotion of Science","keywords":"Neuroscience; Electroencephalography; Psychology; Chemistry","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":[0.0002106865,0.0002863595,0.00019843,0.0003594512,0.00006883786,0.0003305288,0.00008314042,0.0001951403,0.001128535],"category_scores_gemma":[0.002835612,0.0001172861,0.000113202,0.0003588493,0.0002782641,0.0002914478,0.000172977,0.0002351921,0.000241919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006422424,"about_ca_system_score_gemma":0.000123352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000912715,"about_ca_topic_score_gemma":0.00127176,"domain_scores_codex":[0.999898,0.00002744283,0.000007614758,0.00002828147,0.00002768868,0.0000110468],"domain_scores_gemma":[0.9996093,0.0002429721,0.00006111986,0.00002787181,0.00004183595,0.00001692858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001728516,0.0003364644,0.1393781,0.0006737318,0.0004829163,0.001700287,0.001519576,0.00635958,0.5336955,0.0017937,0.001421155,0.3109105],"study_design_scores_gemma":[0.0000787916,0.000343701,0.9613639,0.00002794277,0.0001610873,0.002525488,0.0001998295,0.01464289,0.01778418,0.001432563,0.001412063,0.00002768701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742445,0.0007498136,0.02159386,0.000132263,0.00001368416,0.00006747132,0.0004042706,0.00006521559,0.002728915],"genre_scores_gemma":[0.9967937,0.0002387214,0.002391066,0.00002582199,0.00001827868,0.0000197791,0.0001784922,0.00002024615,0.0003139023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001128535,"threshold_uncertainty_score":0.003775299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497077533478086,"score_gpt":0.2878761366409395,"score_spread":0.2629053613061586,"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."}}