{"id":"W3137788206","doi":"10.3390/s21062020","title":"Effect of a Brain–Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Fundação de Amparo à Pesquisa e Inovação do Espírito Santo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Motor imagery; Brain–computer interface; SMA*; Supplementary motor area; Electroencephalography; Primary motor cortex; Rhythm; Neuroscience; Motor cortex; Psychology; Sensory system; Brain activity and meditation; Physical medicine and rehabilitation; Computer science; Medicine; Functional magnetic resonance imaging; Stimulation","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":[0.0001377535,0.0003402449,0.0001547339,0.0001729788,0.00006131863,0.0002052113,0.000116337,0.0002021179,0.001645145],"category_scores_gemma":[0.0019942,0.00007287504,0.00009409922,0.00008331161,0.0001863215,0.000131138,0.0002086757,0.0001385815,0.0001435956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005411853,"about_ca_system_score_gemma":0.00006598188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003077736,"about_ca_topic_score_gemma":0.0004497232,"domain_scores_codex":[0.9998822,0.00004474889,0.00001019061,0.00002308452,0.00001937203,0.0000204128],"domain_scores_gemma":[0.9994028,0.0004304335,0.00004548212,0.00003404069,0.00004112271,0.00004610606],"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":[0.008350805,0.0009147321,0.01183399,0.000355164,0.000123088,0.0004395591,0.0005629358,0.002096492,0.87491,0.0001545543,0.0003021306,0.09995666],"study_design_scores_gemma":[0.0006302276,0.02042619,0.7584205,0.00005108291,0.000442401,0.001794316,0.0006395057,0.02503723,0.1897603,0.0005842738,0.002166881,0.00004726848],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971452,0.00005768958,0.002143488,0.00002267183,0.000009940587,0.00002330112,0.00003376876,0.00003897681,0.0005249244],"genre_scores_gemma":[0.9983053,0.00004947335,0.001279809,0.00002631607,0.000007983801,0.00002359455,0.00005031598,0.000008284882,0.0002488826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001645145,"threshold_uncertainty_score":0.005503595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169050385500774,"score_gpt":0.2915603649916605,"score_spread":0.2746553264415831,"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."}}