{"id":"W4309468013","doi":"10.1126/sciadv.abq5234","title":"Nonstop mRNAs generate a ground state of mitochondrial gene expression noise","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Medical Research Council; Manchester Biomedical Research Centre; Orionin Tutkimussäätiö; United Mitochondrial Disease Foundation; Suomen Kulttuurirahasto; National Institute for Health and Care Research; Jane ja Aatos Erkon Säätiö; Action Medical Research; Wellcome Trust","keywords":"NonStop; Ribosome; Biology; Genetics; Shine-Dalgarno sequence; Mitochondrial ribosome; Ribosome profiling; Translation (biology); Gene; Start codon; Messenger RNA; Computational biology; Mitochondrial disease; Mitochondrial DNA; Cell biology; RNA; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003264411,0.0000954395,0.0001039807,0.00006124495,0.0003819424,0.00002045804,0.0004721238,0.00001681675,0.00008878059],"category_scores_gemma":[0.00005359791,0.00008478052,0.00004858608,0.000239931,0.0002819653,0.00002130943,0.0002818979,0.0000477778,0.000004714151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001508564,"about_ca_system_score_gemma":0.0001540787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006501337,"about_ca_topic_score_gemma":0.000002936435,"domain_scores_codex":[0.9987775,0.00006463745,0.0001628395,0.0003824746,0.0003762011,0.0002363219],"domain_scores_gemma":[0.9994288,0.000008172153,0.0001310176,0.0003043448,0.00006186899,0.00006576286],"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":[0.00008766641,0.00002801152,0.00004454363,0.000003935208,0.000001865878,0.000002001299,0.00006353622,0.0005691854,0.9884985,0.00001338856,0.00004099774,0.01064634],"study_design_scores_gemma":[0.0001797059,0.0002698918,0.00004116459,0.000004411043,0.000002612289,0.000008609753,0.0001027948,0.00001187928,0.9835043,0.0005439587,0.01521564,0.0001150088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915414,0.00184582,0.005246521,0.00004099142,0.0007301109,0.0001676396,0.00003346567,0.000007368329,0.0003866576],"genre_scores_gemma":[0.9761057,0.0001312167,0.02202732,0.00009709384,0.0001337454,0.00008563825,0.00001170659,0.00001089756,0.001396626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0167808,"threshold_uncertainty_score":0.3457249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00942143256673418,"score_gpt":0.2532883730704881,"score_spread":0.243866940503754,"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."}}