{"id":"W2908240271","doi":"10.1016/j.ccell.2018.11.017","title":"Hyper-Editing of Cell-Cycle Regulatory and Tumor Suppressor RNA Promotes Malignant Progenitor Propagation","year":2019,"lang":"en","type":"article","venue":"Cancer Cell","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of British Columbia","funders":"U.S. National Library of Medicine; National Institute of General Medical Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Institutes of Health","keywords":"Progenitor cell; microRNA; Biology; Cell biology; Cell cycle; Cancer research; Mdm2; RNA-binding protein; RNA editing; Progenitor; Stem cell; RNA; Cell; Genetics; Cell culture; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00005795472,0.00009462554,0.00009804081,0.00001400314,0.00002930172,0.00001190466,0.00006472362,0.00005245042,0.00008797344],"category_scores_gemma":[0.00000854476,0.00008563131,0.00004151591,0.0000299263,0.00004275659,0.000007852222,0.00004211766,0.0000256038,0.000004621252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001289654,"about_ca_system_score_gemma":0.00008660139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001735255,"about_ca_topic_score_gemma":0.000003927436,"domain_scores_codex":[0.9993639,0.00002458447,0.0001475015,0.000234835,0.0001010254,0.0001281303],"domain_scores_gemma":[0.9995435,0.000003638498,0.0001209188,0.0001819741,0.0000755543,0.00007444527],"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":[0.00004456654,0.00003811961,0.01009937,0.0002189875,0.000006360215,5.798427e-7,0.00004068848,0.00004640535,0.9887232,0.000008899508,0.0002559291,0.0005168499],"study_design_scores_gemma":[0.0005887958,0.00008352047,0.006967112,0.0000246724,0.00001800802,0.0000014644,0.00008679977,0.0005301544,0.9904764,0.00001244214,0.001100611,0.0001099915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958863,0.001918986,0.0000206735,0.00003018617,0.0001382995,0.0003555897,0.00002715483,0.000008745208,0.001614052],"genre_scores_gemma":[0.998147,0.0000315738,0.0001894834,0.00005114716,0.0001789107,0.00003654381,0.00003481629,0.00001764832,0.001312882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003132259,"threshold_uncertainty_score":0.3491943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005607927589537929,"score_gpt":0.2173473599581956,"score_spread":0.2117394323686577,"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."}}