{"id":"W2603920775","doi":"10.15353/vsnl.v2i1.89","title":"Commanding Wheelchair in Virtual Reality with Thoughts by Multiclass BCI based on Movement-related Cortical Potentials","year":2016,"lang":"en","type":"article","venue":"Journal of Computational Vision and Imaging Systems","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Brain–computer interface; Wheelchair; Virtual reality; Interface (matter); Computer science; Bridge (graph theory); Human–computer interaction; Motor imagery; Simulation; Electroencephalography; Psychology; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002377017,0.0004116234,0.0001545765,0.0002097241,0.0001127591,0.0004102789,0.0003093389,0.0002320769,0.001846911],"category_scores_gemma":[0.001051281,0.0000904844,0.000108038,0.0001296883,0.0002121265,0.0002798148,0.0002972228,0.0002305542,0.0002677678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000121801,"about_ca_system_score_gemma":0.0002064459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001436595,"about_ca_topic_score_gemma":0.002885461,"domain_scores_codex":[0.9998604,0.00003586739,0.000007537518,0.00002703653,0.00005006961,0.00001915359],"domain_scores_gemma":[0.9998079,0.00007905933,0.00002647812,0.00002082144,0.0000474458,0.00001832173],"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":[0.0005255705,0.0002027865,0.00433272,0.0003067219,0.00006861281,0.0003766963,0.0002930146,0.002956392,0.7098553,0.0008413688,0.001504638,0.2787361],"study_design_scores_gemma":[0.000397623,0.003027512,0.2015106,0.0001991184,0.0005067419,0.006116064,0.0005329498,0.1524363,0.6094632,0.005547944,0.02002509,0.0002369105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7790858,0.001531901,0.2110153,0.0002767422,0.0001478921,0.0003064797,0.000430427,0.001551851,0.005653732],"genre_scores_gemma":[0.9724758,0.0003812944,0.02578397,0.00008526226,0.00001851406,0.00005895989,0.00008307702,0.00004111426,0.001071977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001846911,"threshold_uncertainty_score":0.006178498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452912089586695,"score_gpt":0.2851435387499312,"score_spread":0.2706144178540643,"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."}}