{"id":"W1945442937","doi":"10.1002/lt.24217","title":"Serum fibrosis biomarkers predict death and graft loss in liver transplantation recipients","year":2015,"lang":"en","type":"article","venue":"Liver Transplantation","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Canadian Institutes of Health Research; Gilead Sciences","keywords":"Medicine; Internal medicine; Fibrosis; Gastroenterology; Liver transplantation; Hazard ratio; Nonalcoholic fatty liver disease; Biomarker; Confidence interval; Transplantation; Disease; Fatty liver","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":[0.0001370975,0.0002057518,0.0002222965,0.0001985233,0.00005190842,0.00002661998,0.00004738285,0.0001103322,0.00004530067],"category_scores_gemma":[0.000005905701,0.0001854868,0.00006837201,0.0001844252,0.00004925724,0.0003321154,0.000005001323,0.00008666393,0.00003468385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208065,"about_ca_system_score_gemma":0.0000708361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008378997,"about_ca_topic_score_gemma":0.000296393,"domain_scores_codex":[0.9987057,0.00008707098,0.0002590976,0.0003677164,0.0003388597,0.0002415431],"domain_scores_gemma":[0.9993997,0.00007140887,0.00005590052,0.0001322006,0.00006685338,0.0002739028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001970312,0.0004676279,0.9836157,0.000734187,0.0001726423,0.002585727,0.005637482,0.00001843835,0.0001116739,0.0001263685,0.00009930493,0.004460513],"study_design_scores_gemma":[0.007039741,0.0004048335,0.9873744,0.0005147125,0.001032018,0.0002891742,0.0001317198,0.000569524,0.002331057,0.00007760362,0.00005508131,0.0001801652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963144,0.001092887,0.0002715938,0.0002206339,0.0001280172,0.000680585,0.0003714996,0.00006178855,0.0008585895],"genre_scores_gemma":[0.9849926,0.01292956,0.0008519193,0.0001375741,0.00004374539,0.00007690056,0.0008932512,0.00002150528,0.0000529039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01183667,"threshold_uncertainty_score":0.7563934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274708684824554,"score_gpt":0.2563367483164881,"score_spread":0.2335896614682425,"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."}}