{"id":"W2938233269","doi":"10.1089/nat.2018.0758","title":"Rationally Designed Anti-CRISPR Nucleic Acid Inhibitors of CRISPR-Cas9","year":2019,"lang":"en","type":"article","venue":"Nucleic Acid Therapeutics","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"University of Massachusetts Medical School; National Institute of General Medical Sciences; U.S. Department of Defense","keywords":"CRISPR; Cas9; RNA; Nucleic acid; DNA; Oligonucleotide; Trans-activating crRNA; Biology; Effector; Genome editing; Computational biology; Guide RNA; Gene; Enzyme; Biochemistry","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":[0.0003621543,0.0009481474,0.0006696497,0.000357272,0.0002375236,0.0004837176,0.0007378176,0.0003996634,0.001144439],"category_scores_gemma":[0.0002736614,0.000420102,0.0003657204,0.0002179848,0.0002386448,0.0002737987,0.0002573426,0.0008075959,0.0007282645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008112132,"about_ca_system_score_gemma":0.0005848547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007440069,"about_ca_topic_score_gemma":0.002791024,"domain_scores_codex":[0.9996556,0.00005415454,0.00004164673,0.00008015989,0.000109658,0.00005887261],"domain_scores_gemma":[0.9998804,0.0000210635,0.00004090142,0.000009111548,0.00002771752,0.00002067167],"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":[0.0003541594,0.0002902777,0.0003165618,0.0002389901,0.00005024959,0.0001526865,0.0000258127,0.007938742,0.9761925,0.002066978,0.0005757451,0.01179726],"study_design_scores_gemma":[0.0001003481,0.000607353,0.0002557972,0.00001884051,0.0000447517,0.0001919659,0.000008692358,0.01178755,0.9762114,0.0001916328,0.01055881,0.00002280061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8256728,0.01031998,0.1398483,0.0005581032,0.000418256,0.001637782,0.002140334,0.00115693,0.01824755],"genre_scores_gemma":[0.9307049,0.00473084,0.055382,0.0003643863,0.00003037324,0.0005107801,0.001325834,0.00009994741,0.006850888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001144439,"threshold_uncertainty_score":0.005885839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009876524100314652,"score_gpt":0.27613690469935,"score_spread":0.2662603805990354,"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."}}