{"id":"W4392298534","doi":"10.1016/j.celrep.2024.113891","title":"SARS-CoV-2 targets ribosomal RNA biogenesis","year":2024,"lang":"en","type":"article","venue":"Cell Reports","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Biogenesis; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Ribosomal RNA; Coronavirus disease 2019 (COVID-19); RNA; Biology; Virology; 2019-20 coronavirus outbreak; Computational biology; Genetics; Medicine; Gene; Outbreak","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":[0.0001526869,0.0004067815,0.0002880995,0.0001303218,0.0001629849,0.0003444671,0.0001578365,0.0002614983,0.001379004],"category_scores_gemma":[0.0001145997,0.0001161991,0.000192378,0.00009134902,0.0002418355,0.0001698303,0.0002060768,0.0003244872,0.0004630304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003125673,"about_ca_system_score_gemma":0.0003245924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000352784,"about_ca_topic_score_gemma":0.0008321453,"domain_scores_codex":[0.9998603,0.00002899755,0.00001117362,0.00003253955,0.00004130627,0.00002554453],"domain_scores_gemma":[0.9999092,0.00001454958,0.00002673091,0.000012413,0.00001808676,0.00001909332],"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":[0.00007089677,0.00001583687,0.000253095,0.00004547539,0.000002986625,0.00005920157,0.000008975479,0.00007066531,0.9969239,0.0003135361,0.0001009817,0.002134431],"study_design_scores_gemma":[0.00001961145,0.0005324509,0.01115417,0.00001730477,0.00001182137,0.0005221654,0.00005242783,0.0008363443,0.9734225,0.0002521566,0.01317199,0.000006937916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745336,0.009745372,0.003889086,0.0005693607,0.000155782,0.00004465988,0.0003745593,0.0002164789,0.01047102],"genre_scores_gemma":[0.988234,0.003799556,0.002260373,0.0001633747,0.00003930199,0.00002967754,0.0004104891,0.00002805895,0.005035107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001379004,"threshold_uncertainty_score":0.00461328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445870922209067,"score_gpt":0.2646528283693456,"score_spread":0.2501941191472549,"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."}}