{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002481962,0.0001781792,0.0003139944,0.00008932783,0.0000794391,0.000008093767,0.00009475171,0.0000951802,0.00005726421],"category_scores_gemma":[0.00004228132,0.0001068209,0.00009514044,0.0002246041,0.00008772509,0.00006724697,0.00002520004,0.0002311972,0.000006102582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089921,"about_ca_system_score_gemma":0.00009166099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168546,"about_ca_topic_score_gemma":0.00007300357,"domain_scores_codex":[0.9987751,0.0001229623,0.0002762442,0.0002751486,0.0003176696,0.0002328356],"domain_scores_gemma":[0.9991055,0.000047905,0.0001995545,0.0004265533,0.0001451032,0.00007536403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003457585,0.0001685632,0.9930285,0.00005155803,0.00009478138,0.000002262682,0.0005718805,0.0002983633,0.00002973803,0.00002260207,0.0001891927,0.005196774],"study_design_scores_gemma":[0.002966535,0.0003942571,0.7881626,0.0001010325,0.0004536264,4.067451e-7,0.00002533214,0.2061133,0.001413028,0.00007418644,0.0002132065,0.00008249174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996945,0.001034156,0.0004286821,0.00009095285,0.00007404867,0.000810757,0.0001673244,0.00002769743,0.0004213358],"genre_scores_gemma":[0.9990777,0.0002303114,0.000131983,0.00006793818,0.00008362208,0.0002437599,0.00005517479,0.00003173095,0.0000777796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2058149,"threshold_uncertainty_score":0.435603,"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."}}