{"id":"W3199925472","doi":"10.1158/1055-9965.epi-21-0313","title":"Smoking Methylation Marks for Prediction of Urothelial Cancer Risk","year":2021,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control","funders":"Cancer Council Victoria; University at Buffalo; MedStar Health Research Institute; National Health and Medical Research Council; Wake Forest University; University of Pittsburgh; National Heart, Lung, and Blood Institute; University of Nevada, Reno; U.S. Department of Health and Human Services; National Institutes of Health; Ohio State University; Brigham and Women's Hospital","keywords":"DNA methylation; Risk stratification; Urothelial cancer; Methylation; Risk assessment; Urothelial carcinoma; Risk factor","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":[0.007059643,0.0007064036,0.001124809,0.001007914,0.0002677712,0.00133698,0.0007360237,0.0007493107,0.001382007],"category_scores_gemma":[0.01821409,0.0004712617,0.002911369,0.001283308,0.0003793354,0.0005086845,0.0006694283,0.001311688,0.0002275134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004805562,"about_ca_system_score_gemma":0.000620553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00497021,"about_ca_topic_score_gemma":0.004107798,"domain_scores_codex":[0.9971214,0.001555149,0.0002473688,0.0007104237,0.0002973404,0.0000683386],"domain_scores_gemma":[0.9872338,0.008464724,0.002280767,0.001045835,0.0007459503,0.0002289711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002307855,0.00007564718,0.8821058,0.002237489,0.04167851,0.00009216077,0.0001088557,0.005663365,0.00286657,0.0004283486,0.001504935,0.06093041],"study_design_scores_gemma":[0.0004117743,0.0007783068,0.8763614,0.001656565,0.05511515,0.0005371585,0.00008720484,0.04722093,0.006445775,0.004045507,0.007260507,0.00007978751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6995546,0.2625256,0.0259651,0.003494007,0.0004102654,0.0001148406,0.00511011,0.0003447629,0.002480585],"genre_scores_gemma":[0.9892061,0.006796963,0.002704551,0.0002862474,0.0001384457,0.00002888584,0.0005858992,0.0000241898,0.0002287737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007059643,"threshold_uncertainty_score":0.03733546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908623924074737,"score_gpt":0.3647601213479284,"score_spread":0.3156738821071811,"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."}}