{"id":"W2745851735","doi":"10.1016/j.jhep.2017.07.033","title":"Toronto HCC risk index: A validated scoring system to predict 10-year risk of HCC in patients with cirrhosis","year":2017,"lang":"en","type":"article","venue":"Journal of Hepatology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":213,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Internal medicine; Hepatocellular carcinoma; Cirrhosis; Incidence (geometry); Cohort; Cumulative incidence; Gastroenterology; Viral hepatitis; Proportional hazards model; Hazard ratio; Retrospective cohort study; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006159234,0.0002080684,0.0009937258,0.0002279346,0.0001164867,0.00002384635,0.0002547447,0.0001750719,0.0001246881],"category_scores_gemma":[0.0003422885,0.0001487237,0.0001770123,0.00009582861,0.00006742834,0.0002199895,0.00007514138,0.0002745059,0.00001355129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003437378,"about_ca_system_score_gemma":0.0001651992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002277331,"about_ca_topic_score_gemma":0.0006466979,"domain_scores_codex":[0.9980587,0.0002394973,0.000752032,0.0002242731,0.0004115182,0.0003140107],"domain_scores_gemma":[0.9974205,0.00008015333,0.001288361,0.000521933,0.0004314988,0.0002575157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002944648,0.0003233702,0.9938353,0.0001132818,0.0005064467,0.0002419849,0.0002881011,0.000004266588,0.00003408256,0.000008145601,0.0002670627,0.001433367],"study_design_scores_gemma":[0.007011278,0.003419606,0.9862033,0.0004913583,0.0007272146,0.00007620674,0.0001477515,0.0003837601,0.00105887,0.000004805848,0.0003481004,0.0001277446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980614,0.0002648562,0.00007577718,0.0001353105,0.0002562975,0.0004734575,0.00003279849,0.00001316293,0.000686947],"genre_scores_gemma":[0.9987181,0.00008112478,0.0009630232,0.00001438247,0.0001357969,0.00001228594,0.000006964263,0.00002846526,0.00003985416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007631938,"threshold_uncertainty_score":0.6064777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934274037442625,"score_gpt":0.2408020928458722,"score_spread":0.2214593524714459,"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."}}