{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003681422,0.0001408095,0.0003011777,0.0001878469,0.0001053935,0.0003618349,0.001509753,0.00005962494,0.000008040577],"category_scores_gemma":[0.0006421215,0.0001110965,0.0002053168,0.00003280615,0.00009650417,0.0004996824,0.0001926515,0.0001989806,0.00000420344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007464703,"about_ca_system_score_gemma":0.00004378064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003465609,"about_ca_topic_score_gemma":0.000005913465,"domain_scores_codex":[0.9981372,0.00009140423,0.0008236078,0.0002137258,0.0005773043,0.0001567545],"domain_scores_gemma":[0.9968851,0.0005088923,0.001678777,0.0002501886,0.0006068908,0.00007021582],"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":[0.0003117433,0.0002663846,0.001951944,0.00007182657,0.00009825746,0.00007644297,0.0002908669,0.00181415,0.9454764,0.002027,0.005737287,0.0418777],"study_design_scores_gemma":[0.004816418,0.001932314,0.0424827,0.001890628,0.00005442813,0.004369461,0.0002679653,0.4654827,0.4477535,0.00136121,0.02899225,0.0005964907],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741328,0.00004379133,0.01197316,0.00467511,0.008638725,0.0001910113,0.00008139355,0.00001385404,0.0002501077],"genre_scores_gemma":[0.9972745,0.000008553976,0.0006627371,0.0003208146,0.001396656,0.000002344381,0.000002624456,0.0000153024,0.0003164753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.497723,"threshold_uncertainty_score":0.4530384,"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."}}