{"id":"W2969421703","doi":"10.1002/pros.23895","title":"A three‐gene DNA methylation biomarker accurately classifies early stage prostate cancer","year":2019,"lang":"en","type":"article","venue":"The Prostate","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Ontario Institute for Cancer Research; McGill University Health Centre; University of Toronto; SickKids Foundation; Hospital for Sick Children; Bank of Canada; Ted Rogers Centre for Heart Research; London Health Sciences Centre; Queen's University","funders":"Southeastern Ontario Academic Medical Organization; Canadian Institutes of Health Research; Terry Fox Foundation; Prostate Cancer Canada; Movember Foundation","keywords":"GSTP1; Prostate cancer; DNA methylation; Biomarker; Methylation; Prostate; Oncology; Medicine; Biomarker discovery; Logistic regression; Cancer; Cancer biomarkers; Stage (stratigraphy); Biology; Internal medicine; Gene; Genotype; Genetics; Proteomics; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004480479,0.0002045293,0.0001495778,0.00004400615,0.0001298112,0.000090985,0.0002044667,0.0001140048,0.00006969508],"category_scores_gemma":[0.00003313973,0.0001445691,0.00008185409,0.0001598086,0.00008434834,0.00001362059,0.0001294407,0.0001075331,0.00007436064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002062571,"about_ca_system_score_gemma":0.00009462782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002255009,"about_ca_topic_score_gemma":0.0002493686,"domain_scores_codex":[0.9987292,0.00009080641,0.0002641133,0.0003852037,0.0002027158,0.0003280144],"domain_scores_gemma":[0.9990891,0.00002485343,0.0001878498,0.0004876201,0.000147302,0.00006326518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002513694,0.00002076204,0.02481203,0.00002269805,0.00007641226,9.073282e-7,0.0003635054,0.0003428762,0.9605789,0.00006858189,0.0001327976,0.01332917],"study_design_scores_gemma":[0.0007254488,0.0002456628,0.1263732,0.00001593579,0.00003000166,7.410702e-7,0.00005774272,0.0008293749,0.8400004,0.001313909,0.03011137,0.0002962244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938648,0.002735665,0.0007299016,0.0005760306,0.0003004197,0.0008589986,0.0001140342,0.0000346747,0.0007854869],"genre_scores_gemma":[0.9922059,0.001290685,0.0002162376,0.000106414,0.00009599332,0.0001077397,0.0001381886,0.00004331756,0.005795594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1205785,"threshold_uncertainty_score":0.5895355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03493231504737748,"score_gpt":0.3022917515052868,"score_spread":0.2673594364579093,"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."}}