{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002050679,0.0002782482,0.0003242905,0.0007401789,0.0005109376,0.001560929,0.0005483485,0.0006707426,0.003003986],"category_scores_gemma":[0.0002362782,0.000334658,0.000356064,0.0002385449,0.001012392,0.001079307,0.0007949493,0.0008930571,0.002242929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015582,"about_ca_system_score_gemma":0.0003464096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008287415,"about_ca_topic_score_gemma":0.001875702,"domain_scores_codex":[0.999806,0.00001581919,0.00000761217,0.00006753009,0.00006306892,0.00003997723],"domain_scores_gemma":[0.9997016,0.00003587011,0.00004579232,0.00004599808,0.00005474841,0.0001161236],"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":[0.0001518704,0.00001957994,0.001331305,0.00008184382,0.00001095135,0.000135041,0.0001051916,0.000279187,0.9653139,0.01607204,0.001472187,0.01502686],"study_design_scores_gemma":[0.00003387508,0.00008431207,0.01390401,0.00005168369,0.00001930936,0.0003030325,0.0002602918,0.004765204,0.890682,0.009448729,0.08042306,0.00002447458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8175135,0.01529318,0.09782548,0.004044816,0.001735953,0.00008368785,0.00111394,0.003020383,0.05936901],"genre_scores_gemma":[0.9624205,0.00201959,0.008111544,0.0008556385,0.0002042899,0.00003052369,0.0008318841,0.0002662787,0.02525975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003003986,"threshold_uncertainty_score":0.01004934,"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."}}