{"id":"W4388307352","doi":"10.4236/ojepi.2023.134019","title":"Temporal Variations in Mortality after Liver Transplantation: Retrospective Investigation of Potential Risk Factors Using Propensity Score","year":2023,"lang":"en","type":"article","venue":"Open Journal of Epidemiology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Propensity score matching; Confounding; Logistic regression; Retrospective cohort study; Liver transplantation; Multivariate statistics; Body mass index; Internal medicine; Proportional hazards model; Multivariate analysis; Mortality rate; Transplantation; Statistics","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":[0.004238555,0.0002145755,0.0002529576,0.001846065,0.0002672748,0.0005464072,0.0003369457,0.0002330229,0.0006835206],"category_scores_gemma":[0.007527946,0.0002324261,0.0005989422,0.002891539,0.0002837126,0.0006658058,0.0006787436,0.0002547469,0.0001124924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002608879,"about_ca_system_score_gemma":0.0004743602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001902385,"about_ca_topic_score_gemma":0.002146587,"domain_scores_codex":[0.9979239,0.0007567555,0.0004486774,0.0004060304,0.0003292217,0.0001354581],"domain_scores_gemma":[0.9913708,0.001287312,0.005848103,0.0007986124,0.0004986544,0.0001965883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007629699,0.000009609555,0.9980403,0.0000146608,0.00007040851,0.00003322746,0.00003933498,0.0001589256,0.00009410826,0.00005439856,0.0000531914,0.001355627],"study_design_scores_gemma":[0.000005214449,0.0001299215,0.9965962,0.0000151556,0.00008783654,0.0004729526,0.0001847474,0.001657588,0.0002257657,0.0001249181,0.0004920814,0.000007655407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937272,0.0007508807,0.003767413,0.00006560328,0.00001557479,0.00005177263,0.001201893,0.00001405571,0.0004056415],"genre_scores_gemma":[0.9982285,0.0001713659,0.0006669993,0.00001233366,0.00001350807,0.00002816432,0.0008126354,0.000003341958,0.00006321407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004238555,"threshold_uncertainty_score":0.02241594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1773484638468242,"score_gpt":0.3697036512895966,"score_spread":0.1923551874427724,"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."}}