{"id":"W2625900869","doi":"10.1142/s0129065717500332","title":"Online EEG Classification of Covert Speech for Brain–Computer Interfacing","year":2017,"lang":"en","type":"article","venue":"International Journal of Neural Systems","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Brain–computer interface; Covert; Electroencephalography; Computer science; Speech recognition; Task (project management); Brain activity and meditation; Conversation; Artificial intelligence; Natural language processing; Psychology; Communication; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002774569,0.0003449378,0.0002691243,0.0003112253,0.00006990456,0.0002442533,0.0002067698,0.0002618708,0.001698413],"category_scores_gemma":[0.002567049,0.00008319871,0.0001210973,0.0001876165,0.0001427027,0.0002919507,0.0001981991,0.0001950269,0.0004598101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009793807,"about_ca_system_score_gemma":0.00009685497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002233082,"about_ca_topic_score_gemma":0.0005522718,"domain_scores_codex":[0.9997563,0.00005317316,0.0000169619,0.00006272503,0.00009151322,0.00001942968],"domain_scores_gemma":[0.9991974,0.0004280215,0.0001252057,0.0000617243,0.0001531107,0.00003459066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001235713,0.0001965219,0.01306142,0.000303449,0.00006927429,0.0004284404,0.0001798942,0.002905936,0.4514791,0.0001830647,0.0008277866,0.5291293],"study_design_scores_gemma":[0.0001331115,0.002603741,0.3664803,0.00008970073,0.0002039965,0.003706458,0.0002592561,0.2378373,0.3820587,0.001366711,0.00517891,0.0000818122],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316813,0.000456398,0.06552495,0.0001027201,0.00006850433,0.00007956713,0.000135379,0.000327037,0.001624104],"genre_scores_gemma":[0.9793646,0.0001923183,0.01950816,0.00003496553,0.00003538491,0.00003376674,0.000136141,0.00003467567,0.0006601391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001698413,"threshold_uncertainty_score":0.005681753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08816203312849381,"score_gpt":0.3601222681116988,"score_spread":0.271960234983205,"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."}}