{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004139672,0.0003022449,0.0004141473,0.0003111392,0.0002758671,0.0006585396,0.000312477,0.0003675564,0.0006025749],"category_scores_gemma":[0.0008832769,0.0002781317,0.0002299899,0.0002110514,0.0005018347,0.0003461491,0.0005052733,0.0006375922,0.0003852764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004517882,"about_ca_system_score_gemma":0.0002415764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000274,"about_ca_topic_score_gemma":0.0007033431,"domain_scores_codex":[0.9996415,0.00004333381,0.00002048303,0.0001134338,0.0001332892,0.00004779628],"domain_scores_gemma":[0.9991533,0.0002908418,0.0002400627,0.0001267444,0.0001125426,0.00007663593],"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":[0.00006481996,0.000008889015,0.002200264,0.00002833384,0.000009171496,0.0000988326,0.00004347695,0.0002768363,0.9936053,0.001064391,0.00004330972,0.002556423],"study_design_scores_gemma":[0.00001223348,0.0001671859,0.01444302,0.00001556016,0.00003166569,0.0004594275,0.00008956621,0.008067108,0.9708137,0.002347838,0.003537431,0.00001519223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515877,0.0007392272,0.04550152,0.0001575593,0.00003552331,0.00001800308,0.0002368608,0.0002310968,0.00149263],"genre_scores_gemma":[0.9829881,0.0003725524,0.0141731,0.0001601379,0.00002423756,0.00002634658,0.0005336808,0.0001688121,0.001553105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006585396,"threshold_uncertainty_score":0.003277957,"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."}}