{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001992747,0.0002821928,0.0002913047,0.00008100684,0.00006524779,0.00003076868,0.0003362334,0.0002700565,0.0001607396],"category_scores_gemma":[0.0000206847,0.0002812669,0.0001811796,0.0001646588,0.00008587394,0.000009746565,0.0001114389,0.000151538,0.00008326022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001990037,"about_ca_system_score_gemma":0.00008774164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004614667,"about_ca_topic_score_gemma":0.000004221957,"domain_scores_codex":[0.9984974,0.00005416763,0.0004059053,0.000406241,0.0002807976,0.0003554418],"domain_scores_gemma":[0.9989918,0.00001743622,0.0001362929,0.0006054869,0.0001593999,0.00008959488],"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":[0.00006209729,0.00008399614,0.003226156,0.00004582445,0.0001441404,0.000001486843,0.0001616879,0.000431566,0.9922955,0.0001943315,0.0004461585,0.002907065],"study_design_scores_gemma":[0.0008151352,0.0003486712,0.004273069,0.00002457147,0.00005772369,0.00001357937,0.0001511631,0.0006616224,0.9716719,0.00007525129,0.02157053,0.0003368086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772376,0.002218584,0.0180653,0.0001926099,0.0005577393,0.0003508673,0.00002480237,0.00004175537,0.001310781],"genre_scores_gemma":[0.9957936,0.0003545737,0.002596087,0.0005470942,0.0002382922,0.00000857381,0.00006042123,0.00007727892,0.0003240199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02112437,"threshold_uncertainty_score":0.9999639,"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."}}