{"id":"W2942544581","doi":"10.1016/j.celrep.2019.04.008","title":"Nuclear eIF4E Stimulates 3′-End Cleavage of Target RNAs","year":2019,"lang":"uk","type":"article","venue":"Cell Reports","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"EIF4E; Cleavage and polyadenylation specificity factor; Cleavage stimulation factor; Polyadenylation; Cleavage (geology); EIF4A1; Nuclear export signal; Cleavage factor; Translation (biology); Messenger RNA; RNA; Cell biology; Eukaryotic translation; Biology; Eukaryotic translation initiation factor 4 gamma; Eukaryotic initiation factor; Cell nucleus; Genetics; Gene; Cytoplasm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004488843,0.0002607899,0.0003878749,0.00007083906,0.00007378666,0.00004667592,0.000223744,0.0003240837,0.0008429562],"category_scores_gemma":[0.0001169237,0.0002549445,0.0002464023,0.0001156889,0.0001361434,0.000008482995,0.0002984341,0.0002414789,0.0001619133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002456612,"about_ca_system_score_gemma":0.0002708964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001344717,"about_ca_topic_score_gemma":0.000004752639,"domain_scores_codex":[0.9977182,0.00007645944,0.0006175626,0.000655378,0.0003718672,0.0005605152],"domain_scores_gemma":[0.9981284,0.00002400003,0.0004155331,0.001030896,0.0001523193,0.0002488544],"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":[0.0001126262,0.0001580709,0.01926386,0.0002789633,0.00008068429,0.0003696996,0.00006501,0.0001626515,0.9708831,0.00002112857,0.007818687,0.0007855287],"study_design_scores_gemma":[0.000430284,0.0006697437,0.002581173,0.00006813364,0.00002681886,0.00009077034,0.0001479957,0.0004400776,0.9213464,0.00007896663,0.07381834,0.0003012858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9454743,0.003157301,0.00003356087,0.00005201785,0.0004452145,0.0003627858,0.00001320548,0.00001105039,0.05045051],"genre_scores_gemma":[0.9673283,0.0005162376,0.0003583141,0.00007520275,0.0001601451,0.00000222617,0.00009445736,0.00006315579,0.03140198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06599965,"threshold_uncertainty_score":0.9999903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006246391167616607,"score_gpt":0.2358863292522976,"score_spread":0.229639938084681,"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."}}