{"id":"W2799546415","doi":"10.1007/s12630-018-1140-0","title":"Potential biomarkers of tissue hypoxia during acute hemodilutional anemia in cardiac surgery: A prospective study to assess tissue hypoxia as a mechanism of organ injury","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Erythropoietin and Anemia Treatment","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Toronto General Hospital; St. Michael's Hospital; University of Toronto","funders":"University of Toronto; Canadian Anesthesiologists' Society","keywords":"Erythropoietin; Methemoglobin; Medicine; Hypoxia (environmental); Hemoglobin; Cardiac surgery; Anemia; Cardiopulmonary bypass; Biomarker; Acute kidney injury; Anesthesia; Internal medicine; Cardiology; Gastroenterology; Biology; Chemistry; Oxygen; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001746024,0.0005222688,0.001705678,0.002171431,0.0003336844,0.00007964914,0.0004533276,0.0002405467,0.0004828526],"category_scores_gemma":[0.0003373589,0.0004803658,0.0003836789,0.001267193,0.0003938843,0.0002914136,0.00002917534,0.0006773437,0.00002103623],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001910504,"about_ca_system_score_gemma":0.007910481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01753064,"about_ca_topic_score_gemma":0.008979592,"domain_scores_codex":[0.9955686,0.0003358504,0.001592651,0.0004426107,0.001023107,0.001037204],"domain_scores_gemma":[0.9943856,0.0001156457,0.001000729,0.0004071947,0.001519176,0.002571647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.003703289,0.001109165,0.1377018,0.0002622149,0.002061711,0.791614,0.009263883,0.00002686737,0.04810293,0.0003069745,0.003676393,0.002170758],"study_design_scores_gemma":[0.002486886,0.00955624,0.2143317,0.0009036409,0.0009071289,0.7079487,0.005452678,0.000003284633,0.05722475,0.0002724943,0.0003516764,0.0005607834],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995502,0.0002913836,0.00001096402,0.002639776,0.0004474409,0.0008710587,0.00004219538,0.000009652153,0.0001855252],"genre_scores_gemma":[0.9978936,0.00004741087,0.0009352083,0.00005848792,0.0006862102,0.000009920839,0.000008936725,0.00008709905,0.0002731244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08366526,"threshold_uncertainty_score":0.9997648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093126262591894,"score_gpt":0.257600680766067,"score_spread":0.246669418140148,"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."}}