{"id":"W2980127687","doi":"10.1016/j.jmoldx.2019.08.003","title":"Methylation Markers in Prostate Biopsies Are Prognosticators for Late Biochemical Recurrence and Therapy after Surgery in Prostate Cancer Patients","year":2019,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Prostate Cancer Canada; Movember Foundation","keywords":"Medicine; Prostate cancer; Prostate; Biochemical recurrence; Methylation; Cancer; Oncology; Internal medicine; Prostatectomy; Urology; Biology; Gene","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":[0.0003606688,0.0002061848,0.0005061366,0.0003125353,0.00001365752,0.00002959283,0.0000485612,0.00007179419,0.000008533017],"category_scores_gemma":[0.0007756209,0.00016263,0.0001142309,0.0002740458,0.00005937986,0.0001217312,0.00002519122,0.0002033525,0.000001213522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802054,"about_ca_system_score_gemma":0.000194087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001861182,"about_ca_topic_score_gemma":0.000006795265,"domain_scores_codex":[0.9984959,0.00006458541,0.0006131703,0.0002484296,0.000283161,0.0002946892],"domain_scores_gemma":[0.9983574,0.0006443826,0.0004133011,0.0001224615,0.0003278317,0.0001346158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00164998,0.0005742639,0.9782117,0.0002531309,0.00009054231,0.0002280097,0.0002574947,0.00004410864,0.0008141027,0.000002193138,0.0002497658,0.01762472],"study_design_scores_gemma":[0.004784366,0.0009206072,0.9576905,0.002773357,0.00009292535,0.00001020336,0.00005675058,0.00009454088,0.03265552,0.0001811737,0.0005375874,0.0002024377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761686,0.020789,0.000008424738,0.001033379,0.000241206,0.001666881,0.00008421541,0.000004760579,0.000003524225],"genre_scores_gemma":[0.9604259,0.03856663,0.0003462743,0.0002777761,0.00002455024,0.0002947281,0.00002841324,0.00003028155,0.00000548362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03184142,"threshold_uncertainty_score":0.6631858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025267734320456,"score_gpt":0.2652988460058667,"score_spread":0.2550461686626621,"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."}}