{"id":"W2809125534","doi":"10.1097/ana.0000000000000519","title":"Performance of Electrical Velocimetry for Noninvasive Cardiac Output Measurements in Perioperative Patients After Subarachnoid Hemorrhage","year":2018,"lang":"en","type":"article","venue":"Journal of Neurosurgical Anesthesiology","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Medicine; Perioperative; Subarachnoid hemorrhage; Anesthesia; Concordance; Cardiology; Heart rate; Internal medicine; Blood pressure","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004398524,0.0001620092,0.0007046848,0.0002108807,0.00003939213,0.00000500232,0.0001176183,0.0001573396,0.00001562807],"category_scores_gemma":[0.000244354,0.0001141553,0.0002066767,0.0002025182,0.0001640349,0.00006370135,0.00001560125,0.0003087497,0.000004706338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007776567,"about_ca_system_score_gemma":0.0001276346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002009477,"about_ca_topic_score_gemma":2.239921e-7,"domain_scores_codex":[0.9984019,0.0001767221,0.0006373866,0.000190392,0.0003013497,0.0002922856],"domain_scores_gemma":[0.99872,0.0001712633,0.0002590726,0.0001370641,0.0005866652,0.000125894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005833816,0.0004781801,0.9739834,0.00006636538,0.00003018922,0.0001608925,0.0001829736,0.000005295351,0.006520361,0.000003409734,0.00001179848,0.01272332],"study_design_scores_gemma":[0.003704662,0.0137459,0.9627492,0.00006139363,0.00006472976,0.0003738918,0.00001302323,0.0008044742,0.01750338,0.000007446726,0.0008418062,0.0001300323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990349,0.0001389422,0.00001546675,0.0001206258,0.0003475711,0.0002566226,0.00000278263,0.000005242524,0.00007781242],"genre_scores_gemma":[0.9985937,0.00003453051,0.0006366242,0.0002515497,0.0003566688,0.00001301063,0.000002166912,0.0000193231,0.00009239432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01326772,"threshold_uncertainty_score":0.4655118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158581047884466,"score_gpt":0.2688071456420833,"score_spread":0.2472213351632386,"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."}}