{"id":"W4404008863","doi":"10.1038/s41467-024-53758-5","title":"Decoding the epigenetics and chromatin loop dynamics of androgen receptor-mediated transcription","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prevention of Organ Failure; University of British Columbia","funders":"National Cancer Institute; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Government of Canada; U.S. Department of Defense","keywords":"Chromatin; Epigenetics; Promoter; Enhancer; Biology; Androgen receptor; Gene expression; Transcription factor; Regulation of gene expression; Histone; Genetics; Chromatin immunoprecipitation; ChIA-PET; Cell biology; Gene; Computational biology; Prostate cancer; Cancer","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":[0.0002278688,0.0002135904,0.0003249528,0.0002290857,0.0001484794,0.0004456479,0.0003504777,0.0002343563,0.000846156],"category_scores_gemma":[0.001119476,0.0002271213,0.000311578,0.0003279999,0.000274568,0.000738457,0.0002763841,0.0004155493,0.0001761276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005473201,"about_ca_system_score_gemma":0.0004113631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072877,"about_ca_topic_score_gemma":0.002929114,"domain_scores_codex":[0.9998964,0.00001432334,0.000004467045,0.00004261494,0.00002778996,0.00001443372],"domain_scores_gemma":[0.9997616,0.0001060593,0.00004701943,0.00004167642,0.00002449367,0.00001901986],"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":[0.0003657652,0.00008876981,0.02347205,0.000340343,0.00008612181,0.0001580371,0.0001548545,0.269136,0.6565057,0.01487584,0.0005514774,0.03426501],"study_design_scores_gemma":[0.00001298517,0.00007699541,0.02000705,0.00001109586,0.00002193076,0.00006077383,0.00004892343,0.8762465,0.09484293,0.00719191,0.001452402,0.0000264704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.89709,0.0003189513,0.09900532,0.0001480115,0.00002076895,0.0000190276,0.001497829,0.0004881686,0.001411957],"genre_scores_gemma":[0.9828362,0.0003035683,0.015184,0.00002034955,0.0000102065,0.00002034374,0.001161731,0.00006730914,0.0003964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002072877,"threshold_uncertainty_score":0.004121602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009208187261656568,"score_gpt":0.2572540885753546,"score_spread":0.248045901313698,"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."}}