{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007605536,0.0003384929,0.0003267356,0.0005838294,0.0002100939,0.0005513143,0.0002186286,0.0004590203,0.0006553446],"category_scores_gemma":[0.002374132,0.0002184792,0.0004019405,0.0003893562,0.0002892521,0.0004330753,0.0003911589,0.0007222305,0.0001831901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002314124,"about_ca_system_score_gemma":0.000224976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008552652,"about_ca_topic_score_gemma":0.001272911,"domain_scores_codex":[0.9997175,0.0001013458,0.00003191165,0.00003225224,0.00005252323,0.00006438012],"domain_scores_gemma":[0.9985031,0.0004405427,0.0005978583,0.00007581763,0.0001077441,0.0002749999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002657796,0.00002103397,0.9984261,0.000004273066,0.00002704419,0.00005268681,0.00001286698,0.00005384784,0.0001124283,0.000005835416,0.00002914218,0.000988942],"study_design_scores_gemma":[0.00002166338,0.0002379348,0.9983323,0.000006912116,0.00003845072,0.0003752662,0.00005386276,0.0006524387,0.0001331771,0.0000515469,0.00009225335,0.00000415936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992913,0.0004171694,0.00008258115,0.00003835439,0.000005624189,0.000002835482,0.00005155564,0.00000186252,0.000108815],"genre_scores_gemma":[0.9996938,0.00007871381,0.00004411643,0.00001670971,0.0000115543,0.000002992399,0.00008635486,5.964986e-7,0.00006518618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008552652,"threshold_uncertainty_score":0.004022241,"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."}}