{"id":"W2560886376","doi":"10.1101/089763","title":"The Aquarius/EMB-4 helicase licenses co-transcriptional gene silencing","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Cancer Research UK; National Institutes of Health; Government of the United Kingdom; Canada Research Chairs; Wellcome Trust","keywords":"Argonaute; Biology; Piwi-interacting RNA; RNA Helicase A; Transposable element; Gene silencing; Trans-acting siRNA; RNA; Genetics; RNA silencing; Small RNA; RNA-induced transcriptional silencing; Gene; RasiRNA; Intron; RNA interference; Transcription (linguistics); Genome; Helicase","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":[0.0001723152,0.000381398,0.0001862609,0.0002446971,0.0001709124,0.0003219325,0.0002429265,0.0002901155,0.004004797],"category_scores_gemma":[0.000157209,0.0001718079,0.0002715548,0.00007330047,0.0002656638,0.0001654856,0.0005275679,0.0004687553,0.0009394331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003206787,"about_ca_system_score_gemma":0.0002413616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004161557,"about_ca_topic_score_gemma":0.0007193194,"domain_scores_codex":[0.9998287,0.00002125082,0.00001302823,0.00004385094,0.00005662413,0.00003656382],"domain_scores_gemma":[0.9998389,0.00003020676,0.00005066511,0.00003533576,0.00001551089,0.00002938803],"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":[0.00003347006,0.000005733795,0.0002432122,0.00001886257,0.000003300838,0.00005418115,0.000005758345,0.00004942197,0.9983334,0.0002128604,0.00006038514,0.0009794954],"study_design_scores_gemma":[0.000006041436,0.00003602128,0.003238925,0.000003762366,0.000005795726,0.0003044693,0.00001311241,0.0006595336,0.9913533,0.0001373714,0.004237845,0.000003742362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852923,0.001052195,0.007217779,0.0002220339,0.00004743786,0.00002006134,0.0004846813,0.0003018748,0.005361734],"genre_scores_gemma":[0.9896087,0.0001835885,0.003234302,0.00004993763,0.000009169667,0.00001256745,0.0006101088,0.00005302492,0.006238461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004004797,"threshold_uncertainty_score":0.0133974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009282243216916487,"score_gpt":0.252299932894115,"score_spread":0.2430176896771985,"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."}}