{"id":"W3012466568","doi":"10.1142/s0129065720500264","title":"Nonspecific Visuospatial Imagery as a Novel Mental Task for Online EEG-Based BCI Control","year":2020,"lang":"en","type":"article","venue":"International Journal of Neural Systems","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"","keywords":"Brain–computer interface; Motor imagery; Electroencephalography; Sensorimotor rhythm; Computer science; Mental image; Psychology; Artificial intelligence; Cognitive psychology; Cognition; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001608134,0.0001903068,0.0003307214,0.0001362244,0.0000684043,0.0002924459,0.0008456117,0.00005018533,0.00003259776],"category_scores_gemma":[0.0004212037,0.0001525889,0.0002913522,0.00009265617,0.00006779852,0.0003573744,0.00005134687,0.000242616,0.00002103131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009531253,"about_ca_system_score_gemma":0.00009533524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002626599,"about_ca_topic_score_gemma":0.00000214387,"domain_scores_codex":[0.9978186,0.00009600204,0.0007676672,0.0002746294,0.0008302331,0.0002128338],"domain_scores_gemma":[0.9981381,0.0005681265,0.0006633524,0.00008124473,0.0003634988,0.0001857348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001357946,0.0002945293,0.0002608107,0.00002528658,0.00007408939,0.0002175171,0.0002050702,0.006871589,0.9842235,0.0002702935,0.00502757,0.001171838],"study_design_scores_gemma":[0.01162576,0.00233394,0.0008116898,0.0003261231,0.00005115879,0.001964998,0.0001985856,0.7732657,0.1530161,0.00004179787,0.05590245,0.0004616759],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8986726,0.0001238552,0.06934125,0.02082176,0.009348514,0.0005481375,0.0009637605,0.00005546162,0.0001246793],"genre_scores_gemma":[0.9923314,0.000004185814,0.0002942099,0.005029925,0.002233216,0.000007470944,0.00001106519,0.00002346915,0.00006504277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8312073,"threshold_uncertainty_score":0.6222394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04819024837323824,"score_gpt":0.3143338987169125,"score_spread":0.2661436503436743,"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."}}