{"id":"W2015104432","doi":"10.1074/jbc.c700030200","title":"Regulation of GREB1 Transcription by Estrogen Receptor α through a Multipartite Enhancer Spread Over 20 kb of Upstream Flanking Sequences","year":2007,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institute for Research in Immunology and Cancer","funders":"Canadian Institutes of Health Research; Canadian Imperial Bank of Commerce","keywords":"Enhancer; Coactivator; Estrogen receptor; Biology; Hormone response element; Transcription (linguistics); Estrogen receptor alpha; Transcription factor; Chromatin; Molecular biology; Cancer research; Gene; Breast cancer; Genetics; Cancer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003955334,0.0001545077,0.0002847999,0.0000168661,0.00002908585,0.000005518266,0.0001695505,0.000442211,0.00007816029],"category_scores_gemma":[0.0000954922,0.0001091761,0.0002435905,0.00009374549,0.0001864823,0.00001208859,0.0000235857,0.0001920487,8.159873e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002324471,"about_ca_system_score_gemma":0.00004102572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007318099,"about_ca_topic_score_gemma":4.521845e-7,"domain_scores_codex":[0.9987948,0.00004524869,0.0006025452,0.0001785446,0.0001822389,0.0001966271],"domain_scores_gemma":[0.9989784,0.0000384059,0.0006272122,0.0001325311,0.0001489816,0.00007449055],"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":[0.0005913519,0.0001342849,0.005246283,0.00004389121,0.0001202554,0.000002823716,0.00005095106,0.00003694909,0.9921695,0.000005291409,0.0004028491,0.001195583],"study_design_scores_gemma":[0.0006104393,0.0005285116,0.0008753302,0.00009257918,0.00003779501,0.00004503608,0.00006158676,0.000008702324,0.9957898,0.00008029525,0.001752649,0.0001172985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943198,0.004044721,0.001000135,0.00003396521,0.00008488137,0.00007243788,0.00002639046,0.00000452838,0.0004131272],"genre_scores_gemma":[0.9974526,0.0008191948,0.001300358,0.0000177563,0.000226325,0.000001207129,0.00008168504,0.000008763745,0.00009216386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004370952,"threshold_uncertainty_score":0.4452071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167665580112059,"score_gpt":0.2631805029686818,"score_spread":0.2515038471675612,"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."}}