{"id":"W3014120511","doi":"10.1088/1741-2552/ab85b2","title":"Simultaneous induction of SSMVEP and SMR Using a Gaiting video stimulus: a novel hybrid brain-computer interface","year":2019,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Brain–computer interface; Sensorimotor rhythm; Stimulus (psychology); Electroencephalography; Neuroscience; Sensory system; Mirror neuron; Flicker; Rhythm; Computer science; Psychology; Artificial intelligence; Cognitive psychology; Physics","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":[0.0001488511,0.0003423289,0.0002411268,0.0002519663,0.00008049725,0.0001793897,0.0003474721,0.0002993562,0.001309934],"category_scores_gemma":[0.0004360115,0.00007030688,0.0001491701,0.0001853072,0.000117399,0.000210915,0.0002371642,0.0001384122,0.0001911413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001124298,"about_ca_system_score_gemma":0.0001337378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000356713,"about_ca_topic_score_gemma":0.0008994117,"domain_scores_codex":[0.9998561,0.00002959365,0.00001124215,0.00003316734,0.00005406188,0.00001577353],"domain_scores_gemma":[0.999902,0.00003041248,0.00001230099,0.000007933758,0.00003390891,0.00001352335],"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":[0.0003444548,0.000119225,0.001478813,0.0003230091,0.00005144443,0.0002558516,0.00004347186,0.001631063,0.8038639,0.0005870879,0.0008272357,0.1904744],"study_design_scores_gemma":[0.0002598322,0.004917584,0.06295397,0.0001023276,0.0002903881,0.005191216,0.0001035791,0.2978488,0.6148857,0.00164051,0.01169437,0.0001116221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5030505,0.001499719,0.4854885,0.0003342936,0.0002819011,0.0006311101,0.000440581,0.001500493,0.006772887],"genre_scores_gemma":[0.891667,0.0003074926,0.1052348,0.000250318,0.00006137881,0.0002231433,0.00014669,0.00002109915,0.002088082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001309934,"threshold_uncertainty_score":0.004382133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05686686762827366,"score_gpt":0.2131795987718861,"score_spread":0.1563127311436124,"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."}}