{"id":"W2102406695","doi":"10.1128/mcb.24.12.5534-5547.2004","title":"Genome-Wide Analysis of mRNA Stability Using Transcription Inhibitors and Microarrays Reveals Posttranscriptional Control of Ribosome Biogenesis Factors","year":2004,"lang":"en","type":"article","venue":"Molecular and Cellular Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":349,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Genome Canada; Pfizer","keywords":"Biology; Ribosome biogenesis; Transcription (linguistics); Ribosomal protein; Messenger RNA; Ribosome; Genetics; DNA microarray; Gene; Ribosomal RNA; Molecular biology; RNA; RNA polymerase II; Gene expression; Promoter","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":[0.0003597196,0.000501788,0.0006355561,0.0004839711,0.000228642,0.0005361818,0.0002814979,0.000407928,0.0006637375],"category_scores_gemma":[0.0003643145,0.0002684903,0.0004611836,0.0005288568,0.0002762806,0.0002363928,0.0002021901,0.0006010174,0.0002986558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004065977,"about_ca_system_score_gemma":0.0001895733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006589438,"about_ca_topic_score_gemma":0.001246552,"domain_scores_codex":[0.9996367,0.00004276083,0.00002701765,0.0001476056,0.00009259526,0.00005333052],"domain_scores_gemma":[0.9996713,0.0001134681,0.0001074588,0.00003165702,0.00004456197,0.00003144429],"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":[0.00003832548,0.000004685802,0.0002184265,0.00001665876,0.000005026428,0.000004504178,0.000005217141,0.00003672634,0.9993097,0.00001059038,0.000006320222,0.0003438734],"study_design_scores_gemma":[0.000008007148,0.0001674829,0.02790134,0.00000382627,0.00004061645,0.00007965643,0.00002225534,0.001234027,0.969509,0.00004349077,0.0009819227,0.000008403737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828532,0.003531852,0.009997447,0.0001055329,0.00002807346,0.00003935293,0.00257989,0.0001612721,0.0007033991],"genre_scores_gemma":[0.9759176,0.002062432,0.01259466,0.0001450816,0.00003085273,0.0001904866,0.006615493,0.00008145716,0.002362007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006637375,"threshold_uncertainty_score":0.002950072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410775928634902,"score_gpt":0.2396806680745029,"score_spread":0.2255729087881539,"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."}}