{"id":"W2790121182","doi":"10.1097/tp.0000000000002113","title":"Gender, Race and Disease Etiology Predict De Novo Malignancy Risk After Liver Transplantation: Insights for Future Individualized Cancer Screening Guidance","year":2018,"lang":"en","type":"article","venue":"Transplantation","topic":"Viral-associated cancers and disorders","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Malignancy; Internal medicine; Hazard ratio; Gastroenterology; Liver transplantation; Immunosuppression; Liver disease; Transplantation; Cancer; Proportional hazards model; Primary sclerosing cholangitis; Etiology; Disease; Confidence interval","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":[0.0001378635,0.0001915537,0.00023713,0.00009084665,0.0001971553,0.00002031597,0.00005247057,0.0001676743,0.0001244776],"category_scores_gemma":[0.00001618857,0.0001741791,0.00008112336,0.0001306727,0.0001084639,0.0001754258,0.000002870277,0.0001272983,0.00000335053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004937694,"about_ca_system_score_gemma":0.0001862412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001284187,"about_ca_topic_score_gemma":0.000553225,"domain_scores_codex":[0.9988336,0.00009383644,0.000250186,0.0003464268,0.0001820514,0.000293894],"domain_scores_gemma":[0.9993749,0.00006016525,0.0001189374,0.0001132429,0.0001219303,0.0002108652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05192203,0.0002643305,0.8358329,0.004865142,0.0008408751,0.000596935,0.06992118,0.000169862,0.002297945,0.0009973864,0.00245422,0.02983719],"study_design_scores_gemma":[0.01534479,0.0004073872,0.975426,0.0004717361,0.00221999,0.00006830151,0.0003924195,0.001219875,0.0009048189,0.000836772,0.002377533,0.0003303985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9171477,0.008687563,0.07084689,0.000653902,0.0002290971,0.0007761428,0.001285141,0.00008510422,0.0002884283],"genre_scores_gemma":[0.9593887,0.03376106,0.004122408,0.001148193,0.0005554355,0.0003651012,0.0005239212,0.00003106599,0.0001041024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1395931,"threshold_uncertainty_score":0.7102816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554162311674164,"score_gpt":0.2799015913115409,"score_spread":0.2643599681947993,"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."}}