{"id":"W4385758857","doi":"10.3390/epigenomes7030017","title":"Ribosomal Biogenesis and Heterogeneity in Development, Disease, and Aging","year":2023,"lang":"en","type":"review","venue":"Epigenomes","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Medical Research Council Canada; Royal Society","keywords":"Ribosome biogenesis; Biology; Ribosomal RNA; Ribosome; Ribosomal protein; Biogenesis; Computational biology; RNA; Translation (biology); Gene; Genetics; Evolutionary biology; Messenger RNA","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001190018,0.0002056118,0.000358703,0.0001068865,0.00007744297,0.00003237412,0.0001064176,0.0001154346,0.000003317962],"category_scores_gemma":[0.00001610123,0.0001849555,0.00006838366,0.0001216992,0.00005058489,0.000002058506,0.0001574821,0.00005204709,0.00000905873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002086988,"about_ca_system_score_gemma":0.0001827533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001194661,"about_ca_topic_score_gemma":0.00007772471,"domain_scores_codex":[0.9990206,0.00005084464,0.0002497526,0.0004370709,0.00005410385,0.0001875793],"domain_scores_gemma":[0.9995771,0.00001140673,0.00008148339,0.0002192064,0.00001312645,0.00009767913],"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":[0.000003610043,0.00001808551,0.003653849,0.00336336,0.0001672816,0.00000830416,0.00003324607,6.471383e-7,0.0001216493,0.00001806822,0.00006820593,0.9925437],"study_design_scores_gemma":[0.00007077594,0.000007648048,0.006883003,0.0005191857,0.00006844798,0.000003400616,0.000009024732,4.094527e-7,0.00005531109,0.000007443006,0.9921335,0.0002418819],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01373312,0.9858096,0.00001624296,0.00001209049,0.00005880641,0.0002403589,0.00007599511,0.000009886553,0.00004392557],"genre_scores_gemma":[0.0007813835,0.9978619,0.0001125343,0.00001497281,0.0001183628,0.0001537408,0.000319117,0.00003672941,0.0006013232],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9923018,"threshold_uncertainty_score":0.7542267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05951828497790548,"score_gpt":0.3385797888465177,"score_spread":0.2790615038686122,"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."}}