{"id":"W4385264556","doi":"10.1093/nar/gkad619","title":"CSDE1 promotes miR-451 biogenesis","year":2023,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôtel-Dieu de Québec; Centre hospitalier universitaire de Québec; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and ICT, South Korea; Center for Studies in Demography and Ecology, University of Washington; National Research Foundation of Korea; Canadian Institutes of Health Research; National Research Foundation","keywords":"Drosha; Dicer; Biology; Biogenesis; microRNA; Cell biology; Ribonuclease III; RNase P; RNA-binding protein; RNA; Argonaute; Molecular biology; RNA interference; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001608394,0.0002779014,0.0002198238,0.0001814022,0.0002506925,0.0003373742,0.0001418543,0.0002672682,0.002077303],"category_scores_gemma":[0.0001766048,0.000143303,0.0002748273,0.00008020112,0.0001742635,0.0001885645,0.0003792558,0.0005324386,0.0009940293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004334445,"about_ca_system_score_gemma":0.0002309392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004334439,"about_ca_topic_score_gemma":0.0005917913,"domain_scores_codex":[0.9998026,0.00002580015,0.0000128863,0.00006333996,0.00005869934,0.0000366092],"domain_scores_gemma":[0.9998537,0.00003022772,0.00002821295,0.00001700736,0.00002226792,0.00004844105],"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":[0.00004655799,0.000007564704,0.0001927761,0.00002725399,0.000002715013,0.00003232201,0.00000960097,0.00003527971,0.9986616,0.0001407278,0.00009316088,0.0007504915],"study_design_scores_gemma":[0.00000336726,0.00002393227,0.002274684,0.000002501503,0.000002923942,0.0001290881,0.00001071274,0.0006631164,0.9927809,0.00003603708,0.00407001,0.000002763395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790076,0.003287177,0.01078497,0.0003819934,0.0001087619,0.00003426109,0.0007932275,0.0002642417,0.005337752],"genre_scores_gemma":[0.9886591,0.0006347373,0.004157353,0.0001116537,0.00001272931,0.00001887565,0.0008614564,0.00003791426,0.005506133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002077303,"threshold_uncertainty_score":0.006949306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04671655903374485,"score_gpt":0.3491899818924561,"score_spread":0.3024734228587113,"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."}}