{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009166831,0.000117279,0.00009998092,0.0002554822,0.0001255764,0.0002994636,0.0001179357,0.0001224378,0.0005827508],"category_scores_gemma":[0.00009999294,0.0001194898,0.00007430164,0.0002302849,0.0001899163,0.0001379274,0.0001165457,0.0001445689,0.0001604854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120181,"about_ca_system_score_gemma":0.0001199627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005117176,"about_ca_topic_score_gemma":0.001045861,"domain_scores_codex":[0.9999408,0.000009133752,0.000001854419,0.00002524367,0.00001334104,0.00000965683],"domain_scores_gemma":[0.9999579,0.000008045065,0.00001477477,0.000003900354,0.000005769938,0.000009681442],"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":[0.00007715676,0.00001050531,0.007940975,0.0000461026,0.00001501728,0.00005940605,0.0000462762,0.0005541101,0.984197,0.000528761,0.00007915487,0.006445521],"study_design_scores_gemma":[0.00001990946,0.000362488,0.4609227,0.00002790214,0.0000902575,0.001776263,0.0002177855,0.01285925,0.5084448,0.003531611,0.01171415,0.00003290837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844549,0.006824193,0.006230885,0.0001033277,0.000009884628,0.000009332241,0.0003747147,0.00009541134,0.001897386],"genre_scores_gemma":[0.9974914,0.0008075715,0.0009273062,0.00002515346,0.000006657965,0.000004630462,0.0002187261,0.000007173099,0.0005114917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005827508,"threshold_uncertainty_score":0.001949489,"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."}}