{"id":"W3020230577","doi":"10.1172/jci134260","title":"The landscape of RNA polymerase II–associated chromatin interactions in prostate cancer","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Toronto; Ontario Institute for Cancer Research; Institute of Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research; Genentech; Astellas Pharma; Academy of Medical Sciences; National Institute for Health and Care Research; Royal Marsden NHS Foundation Trust; Medical Research Council; Cancer Prevention and Research Institute of Texas; Daiichi Sankyo Europe; U.S. Department of Defense; Sanofi; Menarini Silicon Biosystems; National Institutes of Health; Vertex Pharmaceuticals","keywords":"Chromatin; Cancer; Prostate cancer; RNA polymerase; Polymerase; Biology; Prostate; Computational biology; Cancer research; RNA; Genetics; DNA; 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":[0.0005607379,0.00006157282,0.000178199,0.0000182808,0.00004879686,0.00001340114,0.000130159,0.00005151347,0.00001005182],"category_scores_gemma":[0.001203457,0.00004425649,0.0001082124,0.0001001524,0.00008176127,0.000006996725,0.00004502047,0.0001981649,5.246107e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009422519,"about_ca_system_score_gemma":0.000217733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001638547,"about_ca_topic_score_gemma":0.0001176963,"domain_scores_codex":[0.9986886,0.000124338,0.0009178558,0.00008236061,0.0001054383,0.00008136173],"domain_scores_gemma":[0.9986687,0.00008378246,0.0009273941,0.00007635896,0.000151855,0.00009192562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000455589,0.0002200908,0.2394157,0.00003830104,0.0002710705,0.00000645491,0.0008915142,0.003343231,0.7365352,0.0001069426,0.009578547,0.009137377],"study_design_scores_gemma":[0.008978235,0.005263697,0.6008615,0.0006209934,0.0002477545,0.0000302613,0.002018038,0.07634122,0.292354,0.003144212,0.009514499,0.0006255498],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994104,0.0003695877,0.00002595006,0.005137042,0.0002135716,0.00006358579,0.0000114666,0.000001364292,0.00007341285],"genre_scores_gemma":[0.9982978,0.0006546251,0.0002468427,0.0005028681,0.0002274346,0.000002294536,0.00001456643,0.000007409082,0.00004613193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4441812,"threshold_uncertainty_score":0.1804727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03394731355091934,"score_gpt":0.3389273109901893,"score_spread":0.30497999743927,"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."}}