{"id":"W3030735207","doi":"10.1038/s41467-020-16512-1","title":"AcrIF9 tethers non-sequence specific dsDNA to the CRISPR RNA-guided surveillance complex","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; Office of Extramural Research, National Institutes of Health; Thailand Science Research and Innovation; Simons Foundation; Life Sciences Research Foundation; National Institute of Biomedical Imaging and Bioengineering; Montana State University; Amgen; U.S. Department of Health and Human Services; National Institutes of Health; M.J. Murdock Charitable Trust; National Institute of Food and Agriculture; Damon Runyon Cancer Research Foundation; U.S. Department of Agriculture","keywords":"CRISPR; RNA; Computational biology; Biology; Trans-activating crRNA; DNA; Acquired immune system; Guide RNA; Oligonucleotide; Immune system; Cas9; CRISPR interference; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001237238,0.0003280362,0.0003416165,0.0001688156,0.0003968174,0.0004806641,0.000545115,0.0006554296,0.002982056],"category_scores_gemma":[0.0002146399,0.0002214128,0.0003568546,0.0001675717,0.0003207891,0.0002839475,0.0003754788,0.001094776,0.0009994964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005769444,"about_ca_system_score_gemma":0.0002782633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256017,"about_ca_topic_score_gemma":0.001816305,"domain_scores_codex":[0.9998181,0.00001699427,0.000009994723,0.00005673786,0.00006158607,0.00003649884],"domain_scores_gemma":[0.9998068,0.00003250996,0.00005602398,0.00002526061,0.00001743788,0.0000620433],"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":[0.0001010154,0.00003517922,0.0003229833,0.00004025155,0.0000145194,0.000131466,0.0000219775,0.000323165,0.996825,0.0003480767,0.0001839478,0.001652473],"study_design_scores_gemma":[0.00001549575,0.0001036297,0.001333714,0.000004244609,0.000006876356,0.0002059117,0.00002121645,0.001449825,0.9923325,0.00007036811,0.004444389,0.00001184958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749976,0.000657091,0.01730999,0.0002605846,0.00009444106,0.00005918267,0.0005528042,0.000311017,0.005757122],"genre_scores_gemma":[0.9798457,0.0002600601,0.01244211,0.0001527364,0.00001193898,0.00003778448,0.0009895329,0.00006095701,0.006199288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002982056,"threshold_uncertainty_score":0.00997597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05051453189509669,"score_gpt":0.3676702678100953,"score_spread":0.3171557359149986,"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."}}