{"id":"W2114410603","doi":"10.1093/toxsci/kfp144","title":"Dioxin Increases the Interaction Between Aryl Hydrocarbon Receptor and Estrogen Receptor Alpha at Human Promoters","year":2009,"lang":"en","type":"article","venue":"Toxicological Sciences","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"Canadian Institutes of Health Research; Novo Nordisk Fonden; Novo Nordisk","keywords":"Aryl hydrocarbon receptor; Chromatin immunoprecipitation; Gene knockdown; Estrogen receptor; Promoter; Estrogen receptor alpha; Transcription factor; Aryl hydrocarbon receptor nuclear translocator; Biology; Gene; Estrogen receptor beta; CYP1B1; Cell biology; Chemistry; Gene expression; Endocrinology; Genetics; Cytochrome P450","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005894157,0.0001634703,0.0001778356,0.00001887166,0.000688843,0.00008978853,0.0004139728,0.00006780588,0.0009819604],"category_scores_gemma":[0.0002212236,0.00008448638,0.0000590642,0.0002244538,0.0009400493,0.0002058769,0.0002640084,0.0001603026,0.0001107901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001098916,"about_ca_system_score_gemma":0.000004139216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001979103,"about_ca_topic_score_gemma":0.0000169634,"domain_scores_codex":[0.998515,0.0001000357,0.0002071025,0.0004695396,0.0003292969,0.0003791027],"domain_scores_gemma":[0.9992679,0.0003241612,0.0001094555,0.000136289,0.000003516403,0.0001586647],"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":[0.00002409637,0.000204824,0.2256439,0.000003020571,0.000008331631,0.000003909513,0.0001369772,0.00004320967,0.7446876,0.0001934962,0.003260672,0.02579002],"study_design_scores_gemma":[0.0007184157,0.00471691,0.6065676,0.00007898781,0.00006428106,0.00004310557,0.0003961453,0.0004394241,0.3593656,0.004754,0.02197208,0.0008834663],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924382,0.00006645734,0.000001573391,0.002753091,0.00004434529,0.0002666739,0.000003801426,0.00006832771,0.004357504],"genre_scores_gemma":[0.998895,0.00003104416,0.0003541845,0.0004238608,0.0001069805,0.0000134169,0.000006363921,0.000003575314,0.0001655655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3853219,"threshold_uncertainty_score":0.9999313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254309483236588,"score_gpt":0.345816562255262,"score_spread":0.3203856139316032,"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."}}