{"id":"W2944751607","doi":"10.1109/tbme.2019.2915185","title":"Novel Signal Processing Technique for Capture and Isolation of Blink-Related Oscillations Using a Low-Density Electrode Array for Bedside Evaluation of Consciousness","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Vestibular and auditory disorders","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Health; Simon Fraser University","funders":"Canadian Institutes of Health Research; Mitacs","keywords":"Electroencephalography; Artifact (error); Computer science; SIGNAL (programming language); Pattern recognition (psychology); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003684608,0.0001197677,0.0001917157,0.0002523182,0.00009373394,0.00001035531,0.00006036148,0.000149408,0.000007943879],"category_scores_gemma":[0.00008133353,0.0001212143,0.00006781015,0.0003672431,0.00008726683,0.000128771,7.430002e-7,0.0001374509,2.151676e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000536038,"about_ca_system_score_gemma":0.0001520346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007970135,"about_ca_topic_score_gemma":0.000002786327,"domain_scores_codex":[0.9989727,0.00002158025,0.0002943338,0.0002423316,0.0003052327,0.0001638949],"domain_scores_gemma":[0.9993584,0.0002167437,0.0001181908,0.00008923695,0.0001633709,0.00005407562],"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":[0.000023702,0.0000639648,0.0000031125,0.0001221824,0.000007177029,2.859013e-8,0.0000963369,0.2706747,0.7281414,0.00001375656,6.466261e-7,0.0008530019],"study_design_scores_gemma":[0.0006078862,0.00006461822,0.00001012879,0.0001056869,0.00005186525,0.000006525007,0.00001651087,0.5241983,0.4748073,0.00005356888,0.000005911966,0.00007173606],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1985968,0.00001462727,0.8001839,0.00004107078,0.0001738479,0.0008951677,0.00005713444,0.00003444013,0.000002990741],"genre_scores_gemma":[0.9847185,0.000002545231,0.01515042,0.00001165311,0.00001963321,0.00006629399,0.000005839498,0.0000201512,0.000004971872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7861217,"threshold_uncertainty_score":0.4942977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894173614901274,"score_gpt":0.264334281138103,"score_spread":0.2453925449890902,"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."}}