{"id":"W1965364554","doi":"10.1097/tp.0b013e3181aed477","title":"Independent Validation of a Model Predicting the Need for Packed Red Blood Cell Transfusion at Liver Transplantation","year":2009,"lang":"en","type":"article","venue":"Transplantation","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Saint-Luc","funders":"","keywords":"Nomogram; Phlebotomy; Medicine; Logistic regression; Packed red blood cells; Liver transplantation; Blood transfusion; Odds ratio; Confidence interval; Cohort; Regression analysis; Internal medicine; Surgery; Transplantation; Statistics; Mathematics","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":[0.01600946,0.001383085,0.000912678,0.001108047,0.0004567482,0.001037831,0.001099662,0.0006912698,0.00157648],"category_scores_gemma":[0.02764994,0.0003137241,0.000934959,0.0005980668,0.0004625621,0.0005916125,0.0008935899,0.001213094,0.0005409523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005436873,"about_ca_system_score_gemma":0.001967469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003860656,"about_ca_topic_score_gemma":0.002068524,"domain_scores_codex":[0.9968866,0.002102536,0.000134378,0.0003965321,0.0002842981,0.0001957434],"domain_scores_gemma":[0.9702401,0.02408816,0.001316026,0.001049834,0.002605539,0.0007005231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003068166,0.0007867733,0.8612168,0.00009745546,0.0009457284,0.0002583577,0.0001584026,0.09365262,0.0008924088,0.0002384663,0.002094474,0.03659029],"study_design_scores_gemma":[0.000318628,0.001447694,0.117008,0.00009516498,0.0004697184,0.0002856214,0.0001189678,0.8773443,0.001460461,0.0004116498,0.001004081,0.00003570522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98163,0.0002818136,0.01604827,0.0002435644,0.00008654363,0.0001278877,0.0007068827,0.0001533232,0.0007216563],"genre_scores_gemma":[0.9948363,0.00006040446,0.003726674,0.00003253267,0.0000261824,0.00006417634,0.001040588,0.0000140275,0.0001991427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01600946,"threshold_uncertainty_score":0.08466715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881929013861963,"score_gpt":0.2623081936396022,"score_spread":0.2434889035009825,"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."}}