{"id":"W2801693495","doi":"10.1016/j.celrep.2018.04.031","title":"A General Framework for Interrogation of mRNA Stability Programs Identifies RNA-Binding Proteins that Govern Cancer Transcriptomes","year":2018,"lang":"en","type":"article","venue":"Cell Reports","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University; McGill University and Génome Québec Innovation Centre; McGill Genome Centre","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; World Health Organization; Ministère de l'Enseignement Supérieur, de la Recherche, de la Science et de la Technologie; Compute Canada; Seventh Framework Programme; McGill University; Génome Québec","keywords":"Transcriptome; RNA-binding protein; Biology; Gene expression; Messenger RNA; Gene; Computational biology; Regulation of gene expression; Cancer; Genetics; Cell biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003359467,0.0001066815,0.0001386844,0.00002460361,0.00008158571,0.00003712931,0.00009549084,0.0001212126,0.00003360758],"category_scores_gemma":[0.00008303401,0.00009447314,0.0001220511,0.00006366826,0.0001331778,0.000009040029,0.00004322489,0.00007005955,5.813341e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003937217,"about_ca_system_score_gemma":0.000138615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002032659,"about_ca_topic_score_gemma":0.0003257055,"domain_scores_codex":[0.9989337,0.00002731364,0.0002602615,0.000326202,0.0001968499,0.0002557228],"domain_scores_gemma":[0.9992132,0.000007863669,0.0002027503,0.0003206696,0.0001849391,0.00007064236],"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":[0.0001135634,0.00006900454,0.01352961,0.0001454677,0.00003280456,0.000004066952,0.0002504121,0.000001264876,0.9827977,0.00001241906,0.0001220877,0.002921616],"study_design_scores_gemma":[0.0001404261,0.0003901618,0.001001692,0.00006388171,0.0000134231,0.000005319811,0.0002924816,0.00005840038,0.9958188,0.0002866642,0.001827954,0.0001007731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876819,0.0003278387,0.01067206,0.00004534513,0.0002811742,0.0006982681,0.00001242271,0.00001075635,0.000270282],"genre_scores_gemma":[0.9948187,0.0000405674,0.002716913,0.00001543949,0.0002477255,0.0002002249,0.00005746898,0.00001790112,0.001885054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01302114,"threshold_uncertainty_score":0.3852503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03340699376866469,"score_gpt":0.3137396889975007,"score_spread":0.280332695228836,"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."}}