{"id":"W2949033967","doi":"10.1038/s41467-019-10577-3","title":"Inhibition of CRISPR-Cas9 ribonucleoprotein complex assembly by anti-CRISPR AcrIIC2","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; Chinese Academy of Sciences; National Natural Science Foundation of China-Yunnan Joint Fund; Canadian Light Source; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Natural Science Foundation of China; National Institutes of Health; Government of Canada; Salt Science Research Foundation; Ministry of Science and Technology of the People's Republic of China; Foundation for the National Institutes of Health","keywords":"CRISPR; Ribonucleoprotein; Genome editing; Cas9; Trans-activating crRNA; Computational biology; Biology; Genetics; RNA; Gene","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":[0.0001971361,0.0004110705,0.0002893056,0.0001748472,0.0001793731,0.0003974565,0.0004452002,0.0002804496,0.001732554],"category_scores_gemma":[0.0001575178,0.0001684082,0.0002439633,0.0001456634,0.0002499014,0.0001229831,0.000270507,0.0006765704,0.0005520328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000465659,"about_ca_system_score_gemma":0.0002213117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000913744,"about_ca_topic_score_gemma":0.000871124,"domain_scores_codex":[0.9996955,0.00003650857,0.00002756011,0.00006934811,0.0001281931,0.00004287831],"domain_scores_gemma":[0.9998564,0.00002055483,0.00004788837,0.00001845047,0.00002052635,0.00003626077],"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":[0.00005629766,0.00002731234,0.0001078301,0.00002837958,0.000008983802,0.00004527615,0.000004415987,0.0002084696,0.9985585,0.0001520629,0.000131521,0.0006709702],"study_design_scores_gemma":[0.00000905167,0.00004261233,0.0005506594,0.000001710016,0.00000304359,0.00007882604,0.000003183841,0.002050928,0.9952819,0.0000153992,0.00195881,0.000003775511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735541,0.001679994,0.01610499,0.0002471292,0.0001259399,0.00007054328,0.0006833068,0.0005024601,0.007031653],"genre_scores_gemma":[0.9896616,0.0002764347,0.005487593,0.00007442523,0.000008026879,0.00002995648,0.0005715577,0.00004742758,0.00384301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001732554,"threshold_uncertainty_score":0.005795956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090340787095691,"score_gpt":0.3220277338456019,"score_spread":0.311124325974645,"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."}}