{"id":"W4200108213","doi":"10.1038/s41586-021-04246-z","title":"Targeting SWI/SNF ATPases in enhancer-addicted prostate cancer","year":2021,"lang":"en","type":"article","venue":"Nature","topic":"Chromatin Remodeling and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":317,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Rogel Cancer Center, University of Michigan; National Cancer Institute; National Institutes of Health; Prostate Cancer Foundation; DOD Prostate Cancer Research Program; National Institute of General Medical Sciences; Movember Foundation; University of Michigan; Howard Hughes Medical Institute; U.S. Department of Defense","keywords":"SMARCA4; Prostate cancer; FOXA1; SWI/SNF; Cancer research; Enhancer; Androgen receptor; Chromatin; Chemistry; Chromatin immunoprecipitation; Transcription factor; Cell growth; Biology; Cancer; Chromatin remodeling; Gene expression; Gene; Promoter; Biochemistry; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001230505,0.0002582126,0.00021386,0.0001681436,0.0001090005,0.0002389337,0.0002709641,0.000232151,0.0008507331],"category_scores_gemma":[0.00004139532,0.0001596059,0.0001822117,0.0001063023,0.0002275596,0.0001006397,0.0001696814,0.0004858412,0.0002327101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003148837,"about_ca_system_score_gemma":0.0001720934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004442169,"about_ca_topic_score_gemma":0.0009614534,"domain_scores_codex":[0.999931,0.000008289697,0.000005265465,0.00001407717,0.00002718854,0.00001423602],"domain_scores_gemma":[0.9999516,0.000005720175,0.00001844485,0.000005094194,0.000003449419,0.00001565093],"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":[0.0001690583,0.00005637594,0.0003306782,0.00006019519,0.00001171565,0.0001298205,0.00001171291,0.00027682,0.9936614,0.0003873777,0.0001918506,0.004712975],"study_design_scores_gemma":[0.00005861374,0.0009657857,0.002930978,0.000005582339,0.00002847225,0.001844121,0.00001307266,0.002349558,0.9811745,0.00009650023,0.0105257,0.000007251189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881639,0.005373548,0.003685011,0.0001980823,0.00006027657,0.00006930219,0.0003161017,0.0003206215,0.00181301],"genre_scores_gemma":[0.993501,0.00187994,0.002388134,0.00006175579,0.00001179084,0.00003118503,0.0002715991,0.00001762341,0.001836867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008507331,"threshold_uncertainty_score":0.002846003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004161646031457239,"score_gpt":0.268612623184877,"score_spread":0.2644509771534198,"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."}}