{"id":"W3201726795","doi":"10.1016/j.bbamcr.2021.119140","title":"Regulation of gene expression via translational buffering","year":2021,"lang":"en","type":"review","venue":"Biochimica et Biophysica Acta (BBA) - Molecular Cell Research","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Health and Medical Research Council; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Vetenskapsrådet; Cancerfonden; University of Melbourne; Victorian Cancer Agency","keywords":"Translational efficiency; Proteome; Translational regulation; Gene expression; Translation (biology); Gene; Regulation of gene expression; Messenger RNA; Biology; Transcriptional regulation; Coding region; Posttranslational modification; Mechanism (biology); Cell biology; Post-translational regulation; Computational biology; Post-transcriptional regulation; Genetics; Enzyme; Biochemistry","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":[0.001086067,0.0006198903,0.001184034,0.000356226,0.0001817346,0.00009269772,0.0009021476,0.0009146487,0.00008131625],"category_scores_gemma":[0.000100577,0.0005819061,0.001008905,0.0006309027,0.0002128334,0.00001235638,0.0004108082,0.0005924479,0.00002778005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005047829,"about_ca_system_score_gemma":0.0007512937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001286724,"about_ca_topic_score_gemma":8.84764e-7,"domain_scores_codex":[0.9942682,0.001774644,0.0008479048,0.001266788,0.001176801,0.0006656477],"domain_scores_gemma":[0.9973887,0.0001456344,0.0004310292,0.001403403,0.0004156388,0.0002156248],"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":[0.00004137756,0.0001863652,2.741894e-8,0.00247864,0.00015676,0.00001151276,0.00003148116,0.000004352617,0.9436026,0.00007347502,0.0001963342,0.05321709],"study_design_scores_gemma":[0.0002154778,0.0001975059,0.000001631286,0.001916831,0.0001449118,0.00001135931,0.000009879996,0.000009758744,0.8936597,0.0001179664,0.1032288,0.000486194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01213465,0.978667,0.00614661,0.00008491702,0.0001462523,0.001400426,0.0001472468,0.00002382417,0.001249073],"genre_scores_gemma":[0.06113582,0.9283115,0.006543236,0.00002419441,0.0003490963,0.0002567821,0.002660098,0.0002177208,0.0005016041],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1030324,"threshold_uncertainty_score":0.9996632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05617198673026091,"score_gpt":0.3540008991396189,"score_spread":0.297828912409358,"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."}}