{"id":"W2276799505","doi":"10.1016/j.neures.2015.12.013","title":"An online three-class Transcranial Doppler ultrasound brain computer interface","year":2016,"lang":"en","type":"article","venue":"Neuroscience Research","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto; Holland Bloorview Kids Rehabilitation Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transcranial Doppler; Doppler effect; Class (philosophy); Interface (matter); Brain–computer interface; Computer science; Doppler ultrasound; Ultrasound; Medicine; Artificial intelligence; Radiology; Psychology; Neuroscience; Physics; Electroencephalography; Operating system","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":[0.0006473631,0.0009359265,0.0006790768,0.0006816088,0.0004763406,0.0009623891,0.001700254,0.001066182,0.02993272],"category_scores_gemma":[0.001727841,0.0002678912,0.0003595523,0.0003019797,0.0002100889,0.0008524066,0.001048354,0.0006286894,0.008140355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003875546,"about_ca_system_score_gemma":0.0008691285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001679068,"about_ca_topic_score_gemma":0.001975645,"domain_scores_codex":[0.99932,0.0001057806,0.00004960191,0.0001928217,0.0002353663,0.00009644336],"domain_scores_gemma":[0.9990827,0.0002659544,0.00002686728,0.0001453835,0.000331725,0.0001474018],"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":[0.001773968,0.001591518,0.00302551,0.0002212388,0.00008811047,0.0008747671,0.0002955676,0.001246953,0.2081573,0.002776433,0.02566545,0.7542832],"study_design_scores_gemma":[0.001877941,0.008991283,0.02877519,0.0001833705,0.0005116248,0.01879825,0.0003441572,0.4175643,0.3416609,0.006109531,0.174732,0.000451503],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0811704,0.0002330457,0.8764306,0.0005806233,0.000729523,0.001359522,0.000391359,0.0230752,0.01602971],"genre_scores_gemma":[0.6228023,0.0002661318,0.3221751,0.002480923,0.0005783893,0.001385031,0.0007984482,0.001214321,0.0482995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02993272,"threshold_uncertainty_score":0.100135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1580279533132728,"score_gpt":0.4057719965655792,"score_spread":0.2477440432523064,"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."}}