{"id":"W2078992291","doi":"10.1002/lt.20868","title":"Derivation of A Risk Index for the Prediction of Massive Blood Transfusion in Liver Transplantation","year":2006,"lang":"en","type":"article","venue":"Liver Transplantation","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Liver transplantation; Internal medicine; Logistic regression; Transplantation; Creatinine; Retrospective cohort study; Prothrombin time; Surgery; Odds ratio; Receiver operating characteristic; Gastroenterology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002243941,0.0006689261,0.0007286078,0.001574343,0.0002375494,0.0009548276,0.000490213,0.0004720827,0.0005788071],"category_scores_gemma":[0.01773368,0.0002684135,0.0005685575,0.0009042913,0.0002174704,0.0004693522,0.0006258123,0.0007976799,0.0002902369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003491221,"about_ca_system_score_gemma":0.0006627088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001285506,"about_ca_topic_score_gemma":0.001096237,"domain_scores_codex":[0.9991308,0.0003952298,0.0001284091,0.00006455364,0.0002151111,0.00006594869],"domain_scores_gemma":[0.9924224,0.003828676,0.001767986,0.0003735982,0.001100269,0.0005071843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002168742,0.00004235576,0.9921768,0.00000831256,0.00004457345,0.00005983006,0.00002015958,0.0007542577,0.0001826459,0.00005791539,0.0002767316,0.006159481],"study_design_scores_gemma":[0.0000693774,0.0007359775,0.9289178,0.00003785761,0.0002146318,0.001035934,0.0001414995,0.06633608,0.0008756306,0.0005120076,0.001090777,0.00003245352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904416,0.0003753701,0.007394945,0.000230893,0.00004642725,0.0000819651,0.0003785838,0.0001058625,0.0009444082],"genre_scores_gemma":[0.9914928,0.0001215694,0.007554821,0.00003304378,0.00005463076,0.00005977244,0.000507295,0.00001612995,0.0001600317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002243941,"threshold_uncertainty_score":0.01186723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00912708430012099,"score_gpt":0.2287130426787854,"score_spread":0.2195859583786645,"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."}}