{"id":"W2923158775","doi":"10.1261/rna.065524.118","title":"Long noncoding RNA repertoire and targeting by nuclear exosome, cytoplasmic exonuclease, and RNAi in fission yeast","year":2018,"lang":"en","type":"article","venue":"RNA","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Medical Research Council; Wellcome; Directorate for Biological Sciences; Royal Society; Cancer Research UK; Wellcome Trust","keywords":"Biology; Schizosaccharomyces pombe; RNA interference; Genetics; RNA; Exonuclease; Schizosaccharomyces; Computational biology; Exosome complex; Cell biology; Non-coding RNA; Gene; Saccharomyces cerevisiae","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":[0.00008923065,0.0002549833,0.0001890792,0.0002215251,0.0001417932,0.000280122,0.0001239423,0.0001292467,0.0001865441],"category_scores_gemma":[0.0001167118,0.0001289829,0.0003238376,0.000181649,0.0001717062,0.0001543157,0.0001922061,0.0001796235,0.0001205107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003071846,"about_ca_system_score_gemma":0.0001837758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001597594,"about_ca_topic_score_gemma":0.002350826,"domain_scores_codex":[0.9999114,0.000004666062,0.000008956785,0.00003978191,0.0000247965,0.00001042975],"domain_scores_gemma":[0.999933,0.000009821903,0.00002504528,0.00000750278,0.00000892965,0.00001572424],"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":[0.0001446021,0.000005611108,0.003431776,0.00005522796,0.00001440856,0.00008771801,0.00002067883,0.0003471585,0.9924865,0.0001139739,0.0000337341,0.003258615],"study_design_scores_gemma":[0.00002449549,0.000231323,0.1239341,0.00001802746,0.0001254537,0.0008373384,0.0001441267,0.007477089,0.8616266,0.0005175429,0.005029877,0.00003416085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914817,0.002479041,0.004367014,0.00002450137,0.00001015381,0.000008762114,0.001035651,0.00008574545,0.0005074741],"genre_scores_gemma":[0.9913935,0.001097027,0.004323425,0.00003759583,0.000002870123,0.00001843028,0.002274683,0.00003248005,0.000820092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001597594,"threshold_uncertainty_score":0.00317657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00610597638686642,"score_gpt":0.2417498353317075,"score_spread":0.2356438589448411,"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."}}