{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001139183,0.0003088694,0.0001851048,0.0001151475,0.000142961,0.0002612623,0.0003025707,0.000291124,0.00105231],"category_scores_gemma":[0.0001214884,0.000129127,0.0003255057,0.00009251954,0.000244963,0.0001379657,0.0002036795,0.0005483904,0.000359277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003782656,"about_ca_system_score_gemma":0.0002612073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007704683,"about_ca_topic_score_gemma":0.0007870597,"domain_scores_codex":[0.9998639,0.00001532414,0.00001655807,0.00002833325,0.00004717152,0.00002865772],"domain_scores_gemma":[0.9998811,0.00002260378,0.0000407725,0.00001551131,0.00001099429,0.0000289474],"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":[0.00003838842,0.00002012256,0.0001742878,0.00001812644,0.000006312521,0.00006366259,0.000006473729,0.00009362758,0.9988729,0.0001157957,0.00003029678,0.0005600364],"study_design_scores_gemma":[0.000007621931,0.00009569772,0.001383437,0.000002351934,0.000008920769,0.0002524545,0.000009216725,0.001303077,0.9949946,0.00002550371,0.001912256,0.000004893337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895208,0.0004408403,0.008066279,0.00008603952,0.00005546046,0.00003147664,0.0002236212,0.0001491785,0.001426321],"genre_scores_gemma":[0.9914103,0.0001364293,0.005397881,0.00006740241,0.000005759867,0.00001412092,0.0003895233,0.00003117832,0.002547384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00105231,"threshold_uncertainty_score":0.00352037,"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."}}