{"id":"W2919632910","doi":"10.1097/tp.0000000000002616","title":"Patterns and Predictors of Mortality After Waitlist Dropout of Patients With Hepatocellular Carcinoma Awaiting Liver Transplantation","year":2019,"lang":"en","type":"article","venue":"Transplantation","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Hepatocellular carcinoma; Hazard ratio; Internal medicine; Proportional hazards model; Dropout (neural networks); Liver disease; Liver transplantation; Confidence interval; Model for End-Stage Liver Disease; Liver cancer; Gastroenterology; Transplantation; Surgery","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":[0.001048348,0.0001792247,0.0002848792,0.0007119923,0.0003383616,0.0004805562,0.0004132302,0.0003153695,0.001069741],"category_scores_gemma":[0.003862226,0.0001512188,0.0003815795,0.0007879178,0.0002423389,0.0004747658,0.0004867571,0.0007050125,0.0001217657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004474336,"about_ca_system_score_gemma":0.0003988185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005414521,"about_ca_topic_score_gemma":0.007690616,"domain_scores_codex":[0.9995097,0.0001131491,0.00006023633,0.00006837952,0.0001098259,0.0001386683],"domain_scores_gemma":[0.9965688,0.0004782735,0.001854431,0.0001102915,0.0003078363,0.0006803299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005179522,0.00001496022,0.9993089,0.000002030628,0.000007239879,0.00001695226,0.00003654189,0.00001472238,0.00002398316,0.000003805922,0.00004244276,0.0004766058],"study_design_scores_gemma":[0.000002769255,0.00004596152,0.9995178,0.000004134419,0.000006162734,0.00005594234,0.0001155885,0.0001943132,0.00001293287,0.00001325381,0.00002917285,0.000001893864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995648,0.0001288549,0.00004092183,0.0000655875,0.000003118625,0.000003410427,0.00009207455,0.000002587723,0.00009864892],"genre_scores_gemma":[0.9996093,0.00003664878,0.00002304538,0.00001941586,0.00000780853,0.00000347466,0.0002576599,0.000001015749,0.00004156136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005414521,"threshold_uncertainty_score":0.01076597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723575534136522,"score_gpt":0.2090437096569623,"score_spread":0.1918079543155971,"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."}}