{"id":"W2131114832","doi":"10.1046/j.1365-2958.2003.03545.x","title":"Post‐transcriptional control of gene expression: effectors of mRNA decay","year":2003,"lang":"en","type":"article","venue":"Molecular Microbiology","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Medical Center, University of Rochester; National Institutes of Health; Centre National de la Recherche Scientifique; École Normale Supérieure","keywords":"Biology; Messenger RNA; P-bodies; Effector; RNA splicing; Gene expression; Gene; Post-transcriptional regulation; Nonsense-mediated decay; Transcription (linguistics); Cell biology; Alternative splicing; Translation (biology); Precursor mRNA; Regulation of gene expression; Genetics; Computational biology; RNA","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001707509,0.0001915496,0.0003234141,0.00007962636,0.00002728846,0.000003007036,0.0002391452,0.0004973083,0.00006999213],"category_scores_gemma":[0.00005870047,0.0001729724,0.0001921652,0.00008139543,0.0002922348,0.000001271219,0.00004078119,0.00009323447,0.000003214887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006194391,"about_ca_system_score_gemma":0.00007498679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000608898,"about_ca_topic_score_gemma":0.00000310567,"domain_scores_codex":[0.9987665,0.0002116742,0.000358058,0.0003521256,0.00004603862,0.0002656139],"domain_scores_gemma":[0.9992008,0.00001325622,0.0001693066,0.0003945937,0.0001722567,0.00004975472],"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":[0.000152502,0.00009948554,0.0006098797,0.00002259076,0.0001047739,0.000004538584,0.000007994543,0.00003069922,0.9975296,0.001266621,0.00003689852,0.000134424],"study_design_scores_gemma":[0.001166747,0.0007256118,0.0002529015,0.00001009491,0.00003252786,0.00009528935,0.000007778477,8.633704e-7,0.9837064,0.00003243362,0.0138029,0.0001664823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812816,0.002983398,0.01475091,0.00006306353,0.0002827476,0.0002182953,0.0002021676,0.000007502761,0.0002103599],"genre_scores_gemma":[0.9950291,0.00006707364,0.004413128,0.0001913204,0.00002979598,0.00001151364,0.0001988708,0.00002180436,0.0000374123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01382322,"threshold_uncertainty_score":0.7053608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002950257527588491,"score_gpt":0.1908909509637471,"score_spread":0.1879406934361586,"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."}}