{"id":"W2911363133","doi":"10.1016/j.urolonc.2019.01.031","title":"Combining urinary DNA methylation and cell-free microRNA biomarkers for improved monitoring of prostate cancer patients on active surveillance","year":2019,"lang":"en","type":"article","venue":"Urologic Oncology Seminars and Original Investigations","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Institute of Cancer Research; Prostate Cancer Canada","keywords":"Prostate cancer; DNA methylation; Medicine; Receiver operating characteristic; Oncology; Urinary system; Urine; Internal medicine; Odds ratio; Methylation; Cell-free fetal DNA; Logistic regression; Confidence interval; Cancer; Biomarker; Area under the curve; microRNA; Prostate biopsy; DNA; Biology; Gene; Gene expression; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007269609,0.0005269138,0.001078442,0.00106018,0.0002917039,0.001255878,0.0004438192,0.0007795967,0.0008490466],"category_scores_gemma":[0.001637433,0.0002904775,0.0004482972,0.0009036086,0.0002037139,0.0005820101,0.0004537704,0.0007902853,0.0002531967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002620171,"about_ca_system_score_gemma":0.0003245058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007617467,"about_ca_topic_score_gemma":0.001990398,"domain_scores_codex":[0.9994773,0.0001553137,0.00003641958,0.000127292,0.0001454219,0.00005811691],"domain_scores_gemma":[0.9994082,0.0001948313,0.0001539222,0.00003654433,0.0001285497,0.00007793959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002125856,0.0003081998,0.8204429,0.0003005275,0.0005322087,0.0002380945,0.0002427666,0.0009516303,0.03841275,0.000215783,0.001992871,0.1342365],"study_design_scores_gemma":[0.0001255313,0.002974975,0.9181142,0.0001901624,0.001173426,0.002043792,0.0004975795,0.01586798,0.04929183,0.001148843,0.008467708,0.0001038278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969023,0.01867452,0.006232753,0.0008653344,0.0002735318,0.00009143987,0.001303457,0.0003292661,0.003206774],"genre_scores_gemma":[0.9914875,0.001748335,0.00485651,0.0003246751,0.000154738,0.00003967161,0.0005038132,0.00001981332,0.0008649114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001255878,"threshold_uncertainty_score":0.003844619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919836604073228,"score_gpt":0.2989017251414403,"score_spread":0.279703359100708,"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."}}