{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002129263,0.0001433059,0.0002832461,0.0009010883,0.000167292,0.0003385678,0.0001610214,0.0001778396,0.0003509622],"category_scores_gemma":[0.0005720687,0.0001259078,0.0001872724,0.000568454,0.0001869564,0.0001240827,0.000190318,0.0002652715,0.0001659248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344778,"about_ca_system_score_gemma":0.0001680282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000404192,"about_ca_topic_score_gemma":0.0009933567,"domain_scores_codex":[0.9998114,0.0000236651,0.00001506886,0.00006202891,0.00006327507,0.0000247288],"domain_scores_gemma":[0.9995,0.0001504066,0.0001694518,0.00005987201,0.00005667476,0.0000635311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001081961,0.00001376705,0.01012823,0.00006568443,0.00002148908,0.0001117269,0.00003342831,0.0002287414,0.9840263,0.00006385422,0.00002969925,0.005168958],"study_design_scores_gemma":[0.00001084431,0.0004725162,0.3939094,0.00001406571,0.000126907,0.003243503,0.0001376768,0.005026111,0.5934643,0.0003331756,0.003234719,0.0000268076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896728,0.001419374,0.007409521,0.00002680295,0.000004950151,0.00002848037,0.0009339525,0.00009244481,0.0004117596],"genre_scores_gemma":[0.9894702,0.0005776506,0.007764843,0.00004032658,0.00000700298,0.00002161431,0.00163543,0.0000333924,0.0004496823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009010883,"threshold_uncertainty_score":0.001174033,"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."}}