{"id":"W2010385783","doi":"10.1002/wrna.1121","title":"Computational approaches to discovering noncoding RNA","year":2012,"lang":"en","type":"review","venue":"Wiley Interdisciplinary Reviews - RNA","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Non-coding RNA; Computational biology; RNA; Biology; microRNA; Genomics; Piwi-interacting RNA; Genome; Genetics; RNA interference; 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":[0.001099308,0.00153426,0.001999406,0.002177641,0.0005630527,0.002049821,0.002566277,0.001460909,0.003604028],"category_scores_gemma":[0.003433479,0.0007997322,0.00180448,0.002766384,0.0007795469,0.001518294,0.001293603,0.001505916,0.00166671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007752983,"about_ca_system_score_gemma":0.001608715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002979885,"about_ca_topic_score_gemma":0.002671587,"domain_scores_codex":[0.9994735,0.0001484557,0.00004510529,0.0001370351,0.0001603785,0.00003550851],"domain_scores_gemma":[0.9981963,0.0014205,0.00007898618,0.00007905997,0.0001904919,0.00003467802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001116696,0.0001206944,0.002394468,0.003857483,0.0008318516,0.000479133,0.0001309627,0.4711983,0.003986506,0.07713763,0.01160563,0.4281457],"study_design_scores_gemma":[0.00004970864,0.00004231955,0.0006094318,0.0002384486,0.0001246068,0.0002239116,0.00006737469,0.8410738,0.002890364,0.1192933,0.03533441,0.00005244495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.008898415,0.0329199,0.9429233,0.001020192,0.0003717431,0.0001657102,0.001195027,0.002222968,0.01028268],"genre_scores_gemma":[0.09506208,0.04859903,0.8431489,0.0005808668,0.0003828832,0.0008922909,0.005137763,0.0006549638,0.005541174],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003604028,"threshold_uncertainty_score":0.01205665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2170919734369842,"score_gpt":0.3760359997625562,"score_spread":0.158944026325572,"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."}}