{"id":"W2775363837","doi":"10.1128/mbio.01751-17","title":"Disabling a Type I-E CRISPR-Cas Nuclease with a Bacteriophage-Encoded Anti-CRISPR Protein","year":2017,"lang":"en","type":"article","venue":"mBio","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l’Éducation, Gouvernement de l’Ontario; Scheme for Promotion of Academic and Research Collaboration; Canadian Institutes of Health Research; Hospital for Sick Children; Government of Canada","keywords":"CRISPR; Trans-activating crRNA; Biology; Nuclease; CRISPR interference; Plasmid; Bacteriophage; Gene; Cas9; Helicase; Mobile genetic elements; Repressor; Genetics; Computational biology; RNA; Gene expression; Escherichia coli","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009003193,0.0001857858,0.000157318,0.00002647208,0.0002394013,0.0001472457,0.0003083017,0.0001073762,0.0000485321],"category_scores_gemma":[0.00009737462,0.0001620104,0.00005699466,0.0000397773,0.00008663408,0.00000816189,0.0001451669,0.0001017223,0.00004112456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009682357,"about_ca_system_score_gemma":0.00004603964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006420883,"about_ca_topic_score_gemma":0.00005439607,"domain_scores_codex":[0.9990929,0.00001483665,0.0001382941,0.0003530012,0.0001088256,0.0002921766],"domain_scores_gemma":[0.9989473,0.000002570044,0.00007656103,0.0007858984,0.00007064598,0.0001170019],"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":[0.0001079122,0.00005028705,0.003590285,0.00004366763,0.00004555936,0.00003033753,0.0000598689,0.00005879772,0.9942384,0.00002315632,0.0004946403,0.001257045],"study_design_scores_gemma":[0.0008587399,0.0003502789,0.02780265,0.00006718734,0.00003144883,0.00003055883,0.00005253047,0.0002556024,0.9522704,0.00001774992,0.017899,0.0003637861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914644,0.00028652,0.006273252,0.0002268116,0.0001582034,0.0002505824,0.00001125699,0.00002825575,0.001300655],"genre_scores_gemma":[0.9964773,0.00003862004,0.002013387,0.00008663936,0.0002467454,0.00001819801,0.00002985398,0.00004193643,0.001047286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04196798,"threshold_uncertainty_score":0.6606593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006273152018609,"score_gpt":0.3024622133657155,"score_spread":0.2923994818455294,"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."}}