{"id":"W2085057142","doi":"10.4161/epi.21524","title":"Quantitative DNA methylation analysis of genes coding for kallikrein-related peptidases 6 and 10 as biomarkers for prostate cancer","year":2012,"lang":"en","type":"article","venue":"Epigenetics","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Biology; DNA methylation; Gene; Prostate cancer; Kallikrein; Methylation; Genetics; DNA; Epigenetics; Computational biology; Cancer research; Cancer; Gene expression; Biochemistry; Enzyme","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":[0.0002744029,0.0001497824,0.0002303247,0.0001573658,0.00008471862,0.00001216956,0.00005907337,0.0001624758,0.00002430624],"category_scores_gemma":[0.0001356136,0.0001545179,0.0001561904,0.0002952721,0.00008886438,0.000007838004,0.00003027766,0.00002300479,6.214876e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002815305,"about_ca_system_score_gemma":0.0000635648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006068062,"about_ca_topic_score_gemma":0.0001490592,"domain_scores_codex":[0.9990363,0.00004532765,0.0003221911,0.00025836,0.00009725334,0.0002406069],"domain_scores_gemma":[0.9991454,0.00009101329,0.0002616287,0.0001684388,0.0002603996,0.00007306692],"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":[0.0004135764,0.00004040313,0.009974352,0.00007114142,0.002278109,2.806213e-8,0.0003881047,0.008337215,0.9632943,0.0002573684,0.0002508631,0.01469449],"study_design_scores_gemma":[0.0009325335,0.0005100726,0.03280419,0.0000244982,0.001832819,5.276189e-7,0.0002150693,0.0145369,0.9422112,0.0001720778,0.006467206,0.0002929265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698889,0.01592409,0.01292002,0.00008447551,0.0001569942,0.0006879498,0.000281521,0.000008677294,0.0000474295],"genre_scores_gemma":[0.99116,0.001956201,0.00541723,0.00001556018,0.00008128995,0.0001385691,0.0007016287,0.00003045086,0.0004990897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02282983,"threshold_uncertainty_score":0.6301055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217574712999918,"score_gpt":0.3260291396655738,"score_spread":0.3038533925355746,"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."}}