{"id":"W3212498557","doi":"10.1016/j.nicl.2021.102880","title":"Hemodynamic changes associated with common EEG patterns in critically ill patients: Pilot results from continuous EEG-fNIRS study","year":2021,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; Polytechnique Montréal; Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Hemodynamics; Electroencephalography; Haemodynamic response; Critically ill; Medicine; Status epilepticus; Functional near-infrared spectroscopy; Anesthesia; Cardiology; Internal medicine; Epilepsy; Heart rate; Blood pressure; Cognition; Psychiatry","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007071358,0.0003207831,0.001076353,0.00009433019,0.0000626885,0.00008875098,0.0002024541,0.0001571674,0.00005354084],"category_scores_gemma":[0.01535877,0.0002718967,0.0001169708,0.0002931783,0.0002527129,0.00009003384,0.0001817251,0.001339936,0.00001853312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009616369,"about_ca_system_score_gemma":0.00009860271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003244521,"about_ca_topic_score_gemma":0.001731647,"domain_scores_codex":[0.9960083,0.0007497712,0.001074898,0.001061925,0.0005634233,0.0005416633],"domain_scores_gemma":[0.9955158,0.0020309,0.0001710621,0.0008773085,0.001112243,0.00029265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001574842,0.01358391,0.9763246,0.00001538732,0.0001003517,0.003748872,0.0001371684,2.361743e-7,0.00118654,0.000009946545,0.0007811794,0.002536971],"study_design_scores_gemma":[0.01055575,0.01043242,0.976776,0.0003836374,0.000235116,0.000009513706,0.0002553562,0.0005781062,0.0003034532,0.00007692668,0.000118107,0.0002756332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882604,0.00001952831,0.0001471486,0.008226968,0.0002298291,0.0007362047,0.0002717614,0.0003531963,0.001755],"genre_scores_gemma":[0.9871085,0.00005250065,0.001345486,0.01063023,0.00008367763,0.00003176322,0.0004169223,0.00007223873,0.0002586575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01465164,"threshold_uncertainty_score":0.9999733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04106845250177839,"score_gpt":0.3681541902475281,"score_spread":0.3270857377457497,"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."}}