{"id":"W3043391628","doi":"10.1083/jcb.201908097","title":"Nuclear role for human Argonaute-1 as an estrogen-dependent transcription coactivator","year":2020,"lang":"en","type":"article","venue":"The Journal of Cell Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Howard Hughes Medical Institute; Secretaría de Ciencia y Técnica, Universidad de Buenos Aires; Universidad de Buenos Aires; Consejo Nacional de Investigaciones Científicas y Técnicas; Agencia Nacional de Promoción Científica y Tecnológica","keywords":"Argonaute; Biology; Enhancer; Coactivator; Gene silencing; Cell biology; Estrogen receptor alpha; Transcription (linguistics); Promoter; Enhancer RNAs; Estrogen receptor; Small interfering RNA; Transcription factor; Regulation of gene expression; Nuclear receptor; Transcriptional regulation; RNA; Gene; Gene expression; Genetics","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":[0.0001556522,0.0001629676,0.0001058329,0.0001238109,0.0002651815,0.0002786493,0.0001297519,0.0001435973,0.001043619],"category_scores_gemma":[0.0001127952,0.00006791828,0.0001376807,0.00007856081,0.000186986,0.0001039186,0.0002040118,0.000164296,0.0003573635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050867,"about_ca_system_score_gemma":0.0001541918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003954187,"about_ca_topic_score_gemma":0.0008317751,"domain_scores_codex":[0.9999068,0.00002439969,0.000005071677,0.00003290764,0.00001993037,0.00001087672],"domain_scores_gemma":[0.999943,0.000009857285,0.00001206248,0.000008371396,0.000007774684,0.00001892129],"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":[0.0001119631,0.00001211795,0.0007738446,0.0000515668,0.00000678309,0.0001140459,0.0000379571,0.00003837495,0.9936132,0.0007150368,0.0001555998,0.004369661],"study_design_scores_gemma":[0.00002414682,0.0002835051,0.02762783,0.00002559357,0.00002897477,0.002477246,0.00009755355,0.0019224,0.9416234,0.0006044563,0.02527034,0.00001455163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601978,0.02017824,0.009256803,0.0005390036,0.000104547,0.00001528563,0.0003719311,0.0002442634,0.00909214],"genre_scores_gemma":[0.9925284,0.00142945,0.002192378,0.00006024203,0.00001569626,0.000008044575,0.0002915537,0.00001229223,0.003461901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001043619,"threshold_uncertainty_score":0.003491223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810603652907292,"score_gpt":0.280643552057473,"score_spread":0.2625375155284,"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."}}