{"id":"W2090777304","doi":"10.1371/journal.pone.0101431","title":"Systematic Identification and Characterization of RNA Editing in Prostate Tumors","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; National Natural Science Foundation of China; Prostate Cancer Canada; Prostate Cancer Foundation","keywords":"RNA editing; RNA; Biology; Computational biology; Intron; Untranslated region; Transcriptome; microRNA; Non-coding RNA; Gene; Genetics; Messenger RNA; Sequence analysis; Gene expression","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":[0.0001322228,0.00003458513,0.00008111112,0.00002839265,0.00001181071,0.000009362955,0.00002455809,0.0000184635,0.000001842396],"category_scores_gemma":[0.0001182471,0.00003419093,0.000009022229,0.00003532129,0.00001405041,0.000003871261,0.00001184061,0.00001125163,0.00000157634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002570476,"about_ca_system_score_gemma":0.000006115975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001107326,"about_ca_topic_score_gemma":0.00000111174,"domain_scores_codex":[0.9995857,0.00004003657,0.0001761325,0.00008689261,0.00006767546,0.00004360314],"domain_scores_gemma":[0.9997224,0.000003763436,0.0001145885,0.00009249409,0.00004457962,0.00002220652],"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":[0.000008357662,0.0000816141,0.01073587,0.001991524,0.000008914551,7.94072e-8,0.00003486694,0.00000156599,0.9870263,0.00006717748,9.362003e-7,0.00004277377],"study_design_scores_gemma":[0.0002919127,0.00003684298,0.2040907,0.0009827655,0.00002668842,4.474625e-7,0.00003089347,0.003109228,0.7913207,0.00004616737,0.000001668276,0.00006196631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993809,0.00002954253,0.0002457992,0.00005235446,0.000008823082,0.0001964798,0.000004131482,0.000003542943,0.00007836981],"genre_scores_gemma":[0.9995527,0.00001258404,0.00005569093,0.00002289223,0.00003774725,0.00002050858,0.0001038003,0.000004732504,0.0001893436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1957056,"threshold_uncertainty_score":0.1394265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009937080473789559,"score_gpt":0.2039052283032608,"score_spread":0.1939681478294712,"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."}}