{"id":"W4310860911","doi":"10.1016/j.cub.2022.11.015","title":"Nanog organizes transcription bodies","year":2022,"lang":"en","type":"article","venue":"Current Biology","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; European Research Council; Boehringer Ingelheim Fonds; Deutsche Forschungsgemeinschaft; Max-Planck-Gesellschaft; Volkswagen Foundation; Fonds de Recherche du Québec - Santé; Université de Lausanne","keywords":"Biology; General transcription factor; Transcription (linguistics); Transcription factor; E-box; TAF2; RNA polymerase II; Transcription factor II D; Homeobox protein NANOG; Cell biology; Response element; Promoter; Eukaryotic transcription; Genetics; Gene; Gene expression; Embryonic stem cell; Enhancer; Induced pluripotent stem cell","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009449435,0.0001000767,0.000096006,0.00003080571,0.0001783089,0.000007063614,0.0001886056,0.00004714816,0.0001586111],"category_scores_gemma":[0.0000132192,0.0001003913,0.00006299345,0.00004029675,0.00005464524,8.592779e-7,0.000163294,0.00009596329,0.00001149219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001961523,"about_ca_system_score_gemma":0.00004137927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000528961,"about_ca_topic_score_gemma":0.00001084144,"domain_scores_codex":[0.9993254,0.00007103971,0.000135663,0.0002455781,0.00004112532,0.0001811848],"domain_scores_gemma":[0.9997038,0.00000359651,0.00005110525,0.0001835296,0.00002565696,0.00003232399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000273753,0.00008103815,0.00382249,0.00001111175,0.00002475496,4.163974e-7,0.0001270343,0.00005043478,0.9829436,0.001320538,0.003061573,0.008529649],"study_design_scores_gemma":[0.0006791052,0.0006242337,0.002101228,0.000002535929,0.00002228155,0.00003547503,0.0003466156,0.0002218098,0.03350462,0.001743527,0.9603876,0.0003310097],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992801,0.004511187,0.0007770541,0.0001566727,0.001214251,0.00009808168,0.0001072398,0.00001605059,0.0003185343],"genre_scores_gemma":[0.9979925,0.000522571,0.0001286987,0.0001088667,0.0001581001,0.00003945833,0.0008440866,0.00001376386,0.0001919566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.957326,"threshold_uncertainty_score":0.4093837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245872370999804,"score_gpt":0.2482099069348105,"score_spread":0.2357511832248125,"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."}}