{"id":"W2894078121","doi":"10.1080/15476286.2018.1526561","title":"RNA-Seq employing a novel rRNA depletion strategy reveals a rich repertoire of snoRNAs in <i>Euglena gracilis</i> including box C/D and Ψ-guide RNAs targeting the modification of rRNA extremities","year":2018,"lang":"en","type":"article","venue":"RNA Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Small nucleolar RNA; Biology; Euglena gracilis; Ribosomal RNA; RNA; Repertoire; Pseudouridine; Non-coding RNA; Guide RNA; Computational biology; Long non-coding RNA; microRNA; Genetics; Cell biology; Transfer RNA; Genome; Gene","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":[0.0006752393,0.0001900781,0.000314909,0.00007563477,0.0001581581,0.00001060662,0.0002223167,0.0001887906,0.000003399687],"category_scores_gemma":[0.0002751114,0.0001491422,0.00006698403,0.0001418321,0.0004306413,0.000003114292,0.0002320715,0.000100793,5.244461e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000203941,"about_ca_system_score_gemma":0.00005660118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005476196,"about_ca_topic_score_gemma":0.000236614,"domain_scores_codex":[0.9984972,0.0001320712,0.0006101506,0.0003976221,0.00007874426,0.0002842328],"domain_scores_gemma":[0.998955,0.0000848633,0.0003889027,0.0003111395,0.0002245064,0.00003562597],"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":[0.00006444027,0.00003549556,0.0226119,0.00003224007,0.00005768226,3.338278e-7,0.0004996887,0.00004411228,0.9723924,0.0005343322,0.0001398582,0.003587448],"study_design_scores_gemma":[0.0009869714,0.0007117786,0.04036512,0.00009564183,0.00004992592,0.00002616388,0.001663546,0.0003263439,0.9490654,0.002026886,0.004316623,0.0003655635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917388,0.005649636,0.001155128,0.0002238853,0.00009796878,0.0002182502,0.00004358294,0.000004094547,0.0008686421],"genre_scores_gemma":[0.9962655,0.001909567,0.001382207,0.0001124816,0.0001809695,0.00002619251,0.00003383055,0.00001805185,0.00007118953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02332703,"threshold_uncertainty_score":0.608184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04173778256433606,"score_gpt":0.2918194539549057,"score_spread":0.2500816713905696,"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."}}