{"id":"W2953135660","doi":"10.1101/342485","title":"Decoupling tRNA promoter and processing activities enables specific Pol-II Cas9 guide RNA expression","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Engineering and Physical Sciences Research Council; Canadian Institutes of Health Research; University of Oxford; International Seafood Sustainability Foundation; Wellcome Trust","keywords":"Transfer RNA; RNA polymerase III; Computational biology; CRISPR; Cas9; RNA; Guide RNA; Biology; Computer science; Genetics; Gene; RNA-dependent RNA polymerase","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000265844,0.0002686144,0.0002634525,0.0001316358,0.0001626286,0.000692584,0.0002413662,0.000267603,0.001066442],"category_scores_gemma":[0.0002898481,0.0002022559,0.000212439,0.0001706603,0.0003218254,0.0002236374,0.0003352469,0.000657889,0.000546613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000314668,"about_ca_system_score_gemma":0.0004473845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005171867,"about_ca_topic_score_gemma":0.0009903716,"domain_scores_codex":[0.9996533,0.00003933626,0.00003998244,0.000101283,0.0001130946,0.00005291593],"domain_scores_gemma":[0.99986,0.00003137761,0.00003427454,0.00003142324,0.00001720653,0.00002566858],"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":[0.0000255319,0.000006545619,0.00009909728,0.00001065064,0.000001777999,0.00002280348,0.000004636579,0.0001223358,0.9984844,0.0002859929,0.00002495254,0.0009112035],"study_design_scores_gemma":[0.000003674225,0.00002553438,0.0001927926,0.000001127192,0.00000289018,0.00005434757,0.000005311745,0.001204474,0.9969573,0.00007317268,0.001476883,0.00000247189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915784,0.0004575292,0.07829705,0.0002292456,0.00008875132,0.00007058296,0.0006957428,0.0007276286,0.003649472],"genre_scores_gemma":[0.9692784,0.0002281967,0.0263163,0.00006404167,0.00001022294,0.00002646758,0.0006982871,0.0001225762,0.003255611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001066442,"threshold_uncertainty_score":0.003567636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009617276033501782,"score_gpt":0.2507717036580244,"score_spread":0.2411544276245226,"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."}}