{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000624382,0.00005413218,0.0002008703,0.0002234229,0.00001691781,0.000004882191,0.00008064032,0.00002382046,0.00008978497],"category_scores_gemma":[0.00004411184,0.00004402396,0.00007543595,0.00102254,0.00007531724,0.00004506945,0.00004804092,0.00005667531,0.00006977419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001274748,"about_ca_system_score_gemma":0.00006585929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001601589,"about_ca_topic_score_gemma":0.00001184886,"domain_scores_codex":[0.999211,0.00003054832,0.0001420748,0.0001721697,0.00026906,0.0001752055],"domain_scores_gemma":[0.9996278,0.00008079095,0.00002370539,0.0001912434,0.00002084361,0.00005559939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000267305,0.0004735567,0.4269091,0.0005662388,0.0002163698,0.0009957385,0.002710813,0.00002905605,0.3039175,0.001580609,0.05102647,0.2113072],"study_design_scores_gemma":[0.0009063885,0.0001722741,0.8349827,0.0005648589,0.0002229496,0.00002208138,0.001400604,0.0005704599,0.1380169,0.0003708851,0.02250287,0.0002669899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864668,0.0001239243,0.0000207661,0.001292386,0.0002229443,0.000199552,0.00001183212,0.00004018511,0.01162163],"genre_scores_gemma":[0.9965119,0.0006488416,0.0001384983,0.0002456849,0.00001120175,0.00001330808,0.000005202993,0.000004761773,0.002420613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4080736,"threshold_uncertainty_score":0.1795245,"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."}}