{"id":"W1971522939","doi":"10.1213/ane.0b013e3181e456c1","title":"The Incremental Value of Thrombelastography for Prediction of Excessive Blood Loss After Cardiac Surgery","year":2010,"lang":"en","type":"article","venue":"Anesthesia & Analgesia","topic":"Blood transfusion and management","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Thrombelastography; Cardiac surgery; Cardiopulmonary bypass; Risk stratification; Surgery; Logistic regression; Area under the curve; Cardiology; Thromboelastography; Internal medicine; Anesthesia; Platelet","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":[0.005144607,0.001051979,0.0007146602,0.001588753,0.0002204815,0.001102904,0.0009048532,0.001026519,0.0009214986],"category_scores_gemma":[0.04646314,0.0002487878,0.0009419839,0.0007807409,0.0005145057,0.0008459468,0.0007399135,0.001338044,0.000314894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003567288,"about_ca_system_score_gemma":0.0005671043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009935105,"about_ca_topic_score_gemma":0.0008823713,"domain_scores_codex":[0.9966395,0.001627042,0.0002883632,0.0003527666,0.0008070458,0.0002852979],"domain_scores_gemma":[0.952365,0.03507181,0.006098955,0.001852231,0.002444861,0.002167135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003703497,0.00006019748,0.9942983,0.00001063254,0.0001203002,0.00003003796,0.00001309418,0.0008759128,0.0001134243,0.00002277459,0.00009704375,0.003988057],"study_design_scores_gemma":[0.00006340288,0.001221057,0.9420051,0.00003091802,0.0005303512,0.0007812463,0.00006333907,0.05335851,0.001029948,0.0006405392,0.0002447806,0.00003085534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944484,0.0008324511,0.003136508,0.0003547394,0.00005941283,0.00003584913,0.0002932084,0.0000736505,0.0007658345],"genre_scores_gemma":[0.9985138,0.00008744027,0.001046246,0.00003240858,0.00005380913,0.00001014135,0.0002075743,0.000004686467,0.0000439973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005144607,"threshold_uncertainty_score":0.02720761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00681360157156268,"score_gpt":0.2234467233713928,"score_spread":0.2166331217998301,"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."}}