{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002280827,0.0002117062,0.0001834309,0.0003611563,0.0002134373,0.0006201557,0.0002542189,0.0002904036,0.002020563],"category_scores_gemma":[0.000302332,0.0001712226,0.000206316,0.0001120335,0.0002538709,0.0001884545,0.0003605068,0.000552342,0.000402388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002602874,"about_ca_system_score_gemma":0.0001527024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004122888,"about_ca_topic_score_gemma":0.0006440001,"domain_scores_codex":[0.9998255,0.00003981352,0.00001188506,0.00004197898,0.00004463946,0.00003607952],"domain_scores_gemma":[0.9996736,0.000133949,0.00004764377,0.00006151882,0.00001970156,0.00006358991],"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":[0.00006838414,0.00001344658,0.0001759094,0.000006745584,0.000002737424,0.00007064274,0.00001106777,0.00008984075,0.9978752,0.0004265641,0.00003145426,0.001228047],"study_design_scores_gemma":[0.00000559265,0.00007947179,0.001677276,0.000001197593,0.00000702987,0.0001940761,0.00001215488,0.001350497,0.9951233,0.0001380757,0.001408628,0.000002669223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874341,0.00107615,0.006566694,0.0001131197,0.00005126424,0.00002358104,0.0001607101,0.0002814526,0.004292818],"genre_scores_gemma":[0.9969388,0.0001350966,0.001078052,0.00002749195,0.00001111562,0.000006867916,0.000118422,0.00004314047,0.001640846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002020563,"threshold_uncertainty_score":0.006759465,"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."}}