{"id":"W2913336364","doi":"10.1016/j.cell.2019.01.025","title":"Widespread and Functional RNA Circularization in Localized Prostate Cancer","year":2019,"lang":"en","type":"article","venue":"Cell","topic":"Circular RNAs in diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":691,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Public Health Ontario; Health Sciences Centre; Sunnybrook Health Science Centre; Université Laval; Princess Margaret Cancer Centre; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research; Center for Translational Molecular Medicine; Terry Fox Research Institute; University of Toronto; Canadian Cancer Society; Prostate Cancer Canada; Natural Sciences and Engineering Research Council of Canada; Princess Margaret Cancer Foundation","keywords":"Biology; Transcriptome; Circular RNA; RNA splicing; RNA; Polyadenylation; microRNA; RNA-Seq; Alternative splicing; Computational biology; Cancer; Prostate cancer; Non-coding RNA; Genetics; Cancer research; Gene; Gene expression; Messenger RNA","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":[0.0002004379,0.0001810189,0.0001558303,0.0005934219,0.0002866818,0.0003956319,0.0001972158,0.0002799015,0.001521263],"category_scores_gemma":[0.0002849564,0.0002179447,0.0001990269,0.0002525272,0.0004903483,0.000186074,0.0003771657,0.0005190396,0.0003079787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002615429,"about_ca_system_score_gemma":0.0002949113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009475188,"about_ca_topic_score_gemma":0.0009079588,"domain_scores_codex":[0.999801,0.00003118626,0.00001198066,0.00006631923,0.00003956459,0.00004990256],"domain_scores_gemma":[0.9996512,0.00006679037,0.00006442762,0.0000822256,0.00004910036,0.0000862669],"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":[0.0001668583,0.00001551206,0.001455147,0.00003210282,0.000008359887,0.000208298,0.00003868996,0.0001059334,0.995257,0.0006055805,0.0000694884,0.002037161],"study_design_scores_gemma":[0.00002341756,0.0004081449,0.05704633,0.0000104937,0.00004537206,0.003462144,0.0002110885,0.001947441,0.9311742,0.0005559329,0.005098105,0.00001740079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829127,0.003604893,0.009603646,0.0001924385,0.00004557087,0.00002847771,0.0003949928,0.0002519202,0.002965349],"genre_scores_gemma":[0.9974169,0.0002311706,0.0008522595,0.00003294122,0.000008384096,0.000008820905,0.0002235675,0.00001498635,0.001211002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001521263,"threshold_uncertainty_score":0.005089104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005923573489320898,"score_gpt":0.2205344836584315,"score_spread":0.2146109101691106,"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."}}