{"id":"W1513041376","doi":"10.1002/cncr.28832","title":"Risk prediction of hepatocellular carcinoma in patients with cirrhosis: The ADRESS‐HCC risk model","year":2014,"lang":"en","type":"article","venue":"Cancer","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Medicine; Hepatocellular carcinoma; Cirrhosis; Internal medicine; Interquartile range; Cohort; Proportional hazards model; Liver transplantation; Cumulative incidence; Liver cancer; Gastroenterology; Oncology; Transplantation","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":[0.003299358,0.0008202924,0.0006406161,0.001265057,0.000317082,0.0009475815,0.0009375709,0.0005156649,0.00130543],"category_scores_gemma":[0.005104964,0.0003158862,0.0007254698,0.0004100509,0.000282001,0.0004100707,0.0008053574,0.0009452029,0.0003565357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006142755,"about_ca_system_score_gemma":0.0009201392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007960211,"about_ca_topic_score_gemma":0.004529008,"domain_scores_codex":[0.9992628,0.0004360406,0.00003090309,0.0001104127,0.00008849598,0.00007146483],"domain_scores_gemma":[0.997201,0.00181762,0.0003464194,0.0001323788,0.0003097259,0.0001929825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001382743,0.0004280017,0.5677335,0.00006500974,0.0006542929,0.0004394232,0.0001887783,0.3794127,0.0004918787,0.002491609,0.00307181,0.04364041],"study_design_scores_gemma":[0.00004604019,0.0001576107,0.01548176,0.00001611485,0.00008120095,0.0001314309,0.00003323014,0.9820222,0.0001251873,0.001614301,0.0002773172,0.00001363954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9376931,0.0005916801,0.05648757,0.001432252,0.00006452645,0.0001257839,0.0008729359,0.0002290318,0.002503272],"genre_scores_gemma":[0.9918657,0.0001499876,0.006502075,0.00006466761,0.00003597568,0.00005572634,0.0006115361,0.00001125215,0.0007030566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007960211,"threshold_uncertainty_score":0.01744884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412455160391163,"score_gpt":0.2114554027997108,"score_spread":0.1873308511957991,"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."}}