{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007555179,0.001359732,0.001746657,0.001439377,0.0002802465,0.001431483,0.001258138,0.001235686,0.001859522],"category_scores_gemma":[0.0004529696,0.0005244614,0.0004327628,0.002003414,0.001389679,0.001485871,0.001042112,0.002125766,0.002353755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034045,"about_ca_system_score_gemma":0.0008206012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007376032,"about_ca_topic_score_gemma":0.0009098008,"domain_scores_codex":[0.9998083,0.00002978118,0.00002159434,0.00005659862,0.00005420715,0.00002955861],"domain_scores_gemma":[0.9998289,0.00008943545,0.00002358225,0.00001239254,0.00003111838,0.00001449078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001995293,0.0000703687,0.0001666726,0.01410966,0.00009522601,0.0003708595,0.00006469421,0.001276746,0.02041169,0.03015798,0.0180023,0.9150743],"study_design_scores_gemma":[0.00004625229,0.00009905519,0.0007923324,0.001531974,0.0001191947,0.0008578753,0.00004815251,0.0003427913,0.009683057,0.01145789,0.9749793,0.00004217766],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001851766,0.9971827,0.0008051906,0.0001944182,0.0002700789,0.000005255211,0.00002087017,0.0000151856,0.00132119],"genre_scores_gemma":[0.001979302,0.9960811,0.0005111546,0.0002141998,0.0002447919,0.00001728858,0.00004527038,0.000004023569,0.000902863],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001859522,"threshold_uncertainty_score":0.007502615,"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."}}