{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001840158,0.0002490563,0.0005426932,0.0009601155,0.0003196031,0.001215907,0.000428719,0.0004850289,0.002236922],"category_scores_gemma":[0.005995389,0.0001649432,0.0007025881,0.0007496204,0.0002579194,0.0009016878,0.0004785025,0.0008493201,0.0002721681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000414252,"about_ca_system_score_gemma":0.001183352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002994664,"about_ca_topic_score_gemma":0.009745409,"domain_scores_codex":[0.9995171,0.0002142233,0.00004207857,0.00007809176,0.00006362216,0.0000848724],"domain_scores_gemma":[0.9976504,0.0009158922,0.0007028714,0.0001152618,0.000238187,0.0003773004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004991139,0.00003971545,0.989151,0.00001909776,0.00003612883,0.00003078203,0.00003616964,0.0001044026,0.0001306008,0.00007683608,0.0004475112,0.009877803],"study_design_scores_gemma":[0.0000170574,0.00009142423,0.9935694,0.0001387544,0.0001663147,0.0002502546,0.0004325056,0.002596852,0.0001982865,0.0008508621,0.001675157,0.00001317066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755889,0.008742411,0.002921457,0.008275995,0.0001207952,0.00004933046,0.001204871,0.0000498962,0.003046358],"genre_scores_gemma":[0.9945433,0.001845528,0.002146907,0.0004755871,0.0001385062,0.00002271469,0.0005791017,0.000006978727,0.0002414103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002994664,"threshold_uncertainty_score":0.009731829,"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."}}