{"id":"W2101790232","doi":"10.1109/tbme.2010.2090880","title":"Towards Brain First-Aid: A Diagnostic Device for Conscious Awareness","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; National Research Council Canada; National Research Council Institute for Biodiagnostics; Dalhousie University","funders":"National Research Council Canada","keywords":"Computer science; Electroencephalography; Reliability (semiconductor); Software; Variety (cybernetics); Perception; Brain activity and meditation; Human–computer interaction; Artificial intelligence; Psychology; 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":[0.001165887,0.0008231869,0.00056775,0.0009561171,0.0004138192,0.001575231,0.001378261,0.002911748,0.004040169],"category_scores_gemma":[0.002969333,0.0003478865,0.0003792918,0.0003141844,0.000989847,0.001862255,0.001174747,0.001570212,0.004051107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002767438,"about_ca_system_score_gemma":0.0006572827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002083665,"about_ca_topic_score_gemma":0.0002701995,"domain_scores_codex":[0.999202,0.000203092,0.00005987654,0.0001447182,0.0003494228,0.0000408856],"domain_scores_gemma":[0.9987342,0.0004261742,0.0001223279,0.0001256601,0.0004449101,0.0001467418],"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":[0.0008984818,0.0003864265,0.007725811,0.001223254,0.000110385,0.002483947,0.0006304734,0.0008606104,0.2646595,0.02290119,0.03302079,0.665099],"study_design_scores_gemma":[0.0004497355,0.005431826,0.01835151,0.0009738358,0.0005010066,0.08030494,0.000503531,0.03869709,0.4522915,0.02826328,0.3736725,0.0005592113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04800146,0.006770697,0.9113564,0.007931218,0.001916065,0.0006296418,0.0004906108,0.006308321,0.01659547],"genre_scores_gemma":[0.1786059,0.00236311,0.7978164,0.005477397,0.0006388854,0.0003503585,0.0002707141,0.0002000392,0.0142772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004040169,"threshold_uncertainty_score":0.01351577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908821822050644,"score_gpt":0.2700208138147865,"score_spread":0.2509325955942801,"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."}}