{"id":"W2403441501","doi":"10.1088/1741-2560/12/6/066008","title":"Towards a ternary NIRS-BCI: single-trial classification of verbal fluency task, Stroop task and unconstrained rest","year":2015,"lang":"en","type":"article","venue":"Journal of Neural Engineering","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":34,"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; Stichting Diabetes Onderzoek Nederland","keywords":"Task (project management); Brain–computer interface; Stroop effect; Verbal fluency test; Fluency; Rest (music); Computer science; Cognitive psychology; Speech recognition; Psychology; Natural language processing; Electroencephalography; Cognition; Neuropsychology; 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":[0.0022783,0.0007865787,0.0007545922,0.0006543417,0.0003034188,0.001290352,0.0006900842,0.00100291,0.001824395],"category_scores_gemma":[0.007547273,0.0002374093,0.000355346,0.0005503632,0.0005641279,0.001088894,0.001080317,0.000764173,0.000763715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000420728,"about_ca_system_score_gemma":0.0006294526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001464231,"about_ca_topic_score_gemma":0.002492301,"domain_scores_codex":[0.9986972,0.0003294605,0.0001277185,0.0003348224,0.0004491906,0.0000615395],"domain_scores_gemma":[0.9982879,0.0005588019,0.000267067,0.0001562176,0.0006035544,0.0001264701],"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":[0.003264258,0.0004102309,0.01454468,0.0007104931,0.0001671065,0.0001245656,0.0003074548,0.005271906,0.4952949,0.001479101,0.001448397,0.476977],"study_design_scores_gemma":[0.0003764399,0.005201876,0.1930533,0.0003407643,0.0005501045,0.002111257,0.000378368,0.4872515,0.2975478,0.008160778,0.004792085,0.0002356992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4763118,0.001489867,0.5129401,0.0005756348,0.0003652537,0.0007123359,0.0006445891,0.001836431,0.005123985],"genre_scores_gemma":[0.7977661,0.0002899164,0.1996382,0.0001888412,0.00008865372,0.0003056245,0.0003626572,0.0000457344,0.001314279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0022783,"threshold_uncertainty_score":0.01204896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04411831304353012,"score_gpt":0.3071969533640817,"score_spread":0.2630786403205516,"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."}}