{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005659768,0.0001488596,0.0004048119,0.0001489988,0.00008822588,0.000009516297,0.00009903184,0.00009733269,0.00004201884],"category_scores_gemma":[0.00002004412,0.0001045004,0.0004589734,0.0002539152,0.0002378397,0.00006022775,0.00001351733,0.0001330825,0.000001657821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004720713,"about_ca_system_score_gemma":0.00005853983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008620041,"about_ca_topic_score_gemma":0.00002175744,"domain_scores_codex":[0.998789,0.00005301166,0.0004021165,0.0002092142,0.000333346,0.0002133115],"domain_scores_gemma":[0.9990341,0.0001925111,0.0001643589,0.0003768133,0.0001505747,0.00008162758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001471047,0.00116715,0.9182927,0.0007207218,0.001844809,0.0001464346,0.00060752,0.000001105739,0.05597459,0.008556179,0.005410066,0.005807674],"study_design_scores_gemma":[0.0009698929,0.0004111346,0.9365795,0.0001200263,0.001530707,0.0001113266,0.0002921598,0.00002085314,0.04667047,0.0002279507,0.01294248,0.0001234733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969972,0.0004564815,0.0001124647,0.00126892,0.0001401474,0.0007459318,0.00002571177,0.00002824741,0.0002249384],"genre_scores_gemma":[0.9986975,0.0003999314,0.0003453582,0.0001783494,0.000110892,0.0001354732,0.00004013386,0.00002275448,0.00006963869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01828683,"threshold_uncertainty_score":0.4261405,"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."}}