{"id":"W4384937354","doi":"10.1016/j.isci.2023.107429","title":"Methemoglobin as a marker of acute anemic stress in cardiac surgery","year":2023,"lang":"en","type":"article","venue":"iScience","topic":"Blood transfusion and management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Libin Cardiovascular Institute of Alberta; University of Calgary; Kingston General Hospital; Kelowna General Hospital; Montreal Heart Institute; Sunnybrook Health Science Centre; Sinai Health System; University of Toronto; St. Michael's Hospital","funders":"Erasmus+; National Health and Medical Research Council; Medical Research Council; Canadian Institutes of Health Research; National Institutes of Health; University of Toronto; Canadian Blood Services; Health Research Council of New Zealand; Edwards Lifesciences","keywords":"Medicine; Methemoglobin; Cardiac surgery; Perioperative; Leukoreduction; Anemia; Hemoglobin; Cardiopulmonary bypass; Biomarker; Stroke (engine); Myocardial infarction; Anesthesia; Haptoglobin; Erythropoietin; Cardiology; Internal medicine; Blood transfusion","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":[0.001925236,0.0003064385,0.0004977768,0.0002319879,0.0001568763,0.0005533836,0.0002935908,0.0003933912,0.0008927504],"category_scores_gemma":[0.002947448,0.0001367736,0.0003790404,0.0003524292,0.0002716828,0.0002629503,0.0002930262,0.0008273054,0.00009077053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002390173,"about_ca_system_score_gemma":0.000489763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006334812,"about_ca_topic_score_gemma":0.001392637,"domain_scores_codex":[0.9992586,0.0005594936,0.00004241991,0.00003467594,0.00007508893,0.00002984132],"domain_scores_gemma":[0.9982633,0.000580539,0.0007764919,0.0001066717,0.0001150746,0.0001579018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2385182,0.004389837,0.567023,0.002974249,0.00395018,0.0001116484,0.0002125327,0.001007576,0.01037199,0.0006921067,0.005229547,0.165519],"study_design_scores_gemma":[0.01575116,0.04195694,0.9270775,0.0007831068,0.002738332,0.0002644004,0.0002008893,0.003292629,0.002944736,0.001030087,0.003905521,0.00005471791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813088,0.01455549,0.0004543946,0.0008868534,0.0001752342,0.0003012269,0.0006559172,0.00001123906,0.001651001],"genre_scores_gemma":[0.9946567,0.002744635,0.0008585247,0.0004443683,0.0002103253,0.0002431438,0.0004689698,0.00000301877,0.0003703447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001925236,"threshold_uncertainty_score":0.01018173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978002821518996,"score_gpt":0.2919372567779528,"score_spread":0.2721572285627629,"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."}}