{"id":"W2070956290","doi":"10.3389/fnhum.2014.00199","title":"Online transcranial Doppler ultrasonographic control of an onscreen keyboard","year":2014,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"University of Toronto","keywords":"Brain–computer interface; Computer science; Task (project management); Speech recognition; Transcranial Doppler; Psychology; Electroencephalography; Medicine; Neuroscience","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":[0.0005937333,0.0005206875,0.0003534976,0.0004394038,0.0001435714,0.0003541537,0.0004693383,0.0002608501,0.003196095],"category_scores_gemma":[0.004827586,0.000136778,0.000151071,0.0001827665,0.0002176853,0.0003444934,0.0003241007,0.0001578203,0.0007692116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782043,"about_ca_system_score_gemma":0.0003245547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009405696,"about_ca_topic_score_gemma":0.0009933491,"domain_scores_codex":[0.9993424,0.0001798298,0.00005607924,0.0001874533,0.0001893075,0.00004496114],"domain_scores_gemma":[0.9979779,0.001115033,0.0001705271,0.000254586,0.0004101804,0.0000717561],"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":[0.00163764,0.0003198718,0.01740919,0.0002504517,0.00003921478,0.0004067899,0.0003844356,0.00226391,0.2836061,0.0003042586,0.001322199,0.6920558],"study_design_scores_gemma":[0.0005352616,0.00627916,0.2095446,0.0001653421,0.0003007873,0.007579775,0.0004018125,0.193975,0.5627517,0.001433847,0.01679263,0.0002401026],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8260189,0.0004171778,0.1656956,0.00008904491,0.000121608,0.0004999124,0.0003146878,0.003165374,0.003677675],"genre_scores_gemma":[0.9546447,0.0001264067,0.04264656,0.0000662701,0.00002825511,0.00009606659,0.0001157959,0.00005855091,0.002217478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003196095,"threshold_uncertainty_score":0.010692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164291712961428,"score_gpt":0.2644751872514235,"score_spread":0.2428322701218093,"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."}}