{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006231721,0.0008306757,0.001314812,0.002459808,0.0003064674,0.001043619,0.0007966119,0.001246126,0.002858015],"category_scores_gemma":[0.0007649992,0.0002586453,0.0004054928,0.002265145,0.0008341431,0.001457538,0.0009319112,0.001631951,0.002167803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000730059,"about_ca_system_score_gemma":0.000952777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001027883,"about_ca_topic_score_gemma":0.001513587,"domain_scores_codex":[0.999828,0.00003210671,0.00002783922,0.00003938837,0.00005277432,0.00001984677],"domain_scores_gemma":[0.9996603,0.0001748832,0.00004657043,0.00001242287,0.00007151249,0.00003438823],"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":[0.0001031098,0.00003470219,0.0003632822,0.0130699,0.00007694445,0.0004284534,0.00009500919,0.0003309961,0.00221951,0.008806086,0.02529836,0.9491737],"study_design_scores_gemma":[0.000005429918,0.00004981659,0.0009351606,0.002026926,0.00007154685,0.001880222,0.00006023946,0.00005639342,0.0005711999,0.003241402,0.9910824,0.00001927941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006843388,0.9990059,0.00009187907,0.0001999164,0.0001464026,0.000001669183,0.00001158727,0.000005320573,0.0004690165],"genre_scores_gemma":[0.0005732143,0.9986507,0.0001129834,0.0001254928,0.0001489713,0.000003181471,0.00002544239,0.000001675237,0.0003582678],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002858015,"threshold_uncertainty_score":0.009561002,"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."}}