{"id":"W2416874763","doi":"10.1128/aem.01159-16","title":"Development of a CRISPR-Cas9 Tool Kit for Comprehensive Engineering of Bacillus subtilis","year":2016,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":201,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"CRISPR; Cas9; Biology; Trans-activating crRNA; Bacillus subtilis; CRISPR interference; Guide RNA; Genome editing; Genome engineering; Plasmid; Computational biology; Genetics; RNA polymerase III; Transcription (linguistics); Gene; RNA; RNA polymerase","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":[0.0004752799,0.0008957663,0.0005381515,0.0005811733,0.0002928179,0.0005109413,0.0006115244,0.0005731655,0.001865857],"category_scores_gemma":[0.0003932143,0.0003419575,0.000469603,0.0004480715,0.0002170153,0.0003347388,0.0005586668,0.0008906568,0.002793765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003400163,"about_ca_system_score_gemma":0.0007617674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000667401,"about_ca_topic_score_gemma":0.0008056915,"domain_scores_codex":[0.9993362,0.00007183272,0.00009459791,0.0001059893,0.0003260711,0.00006537705],"domain_scores_gemma":[0.9997382,0.00003737872,0.00006344663,0.00003261436,0.00007512353,0.00005333267],"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":[0.00007712724,0.00004039277,0.0002763384,0.0002732948,0.00001315073,0.0001189054,0.00003117774,0.0005699923,0.9722259,0.0003378067,0.0004333753,0.02560259],"study_design_scores_gemma":[0.00001932889,0.0002829831,0.001050424,0.00004403128,0.00002324547,0.0005917907,0.00001882802,0.001795793,0.9714994,0.000107416,0.02454326,0.00002352437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3691213,0.00790984,0.5947236,0.0009645401,0.0005205242,0.001453254,0.006232881,0.007527376,0.01154665],"genre_scores_gemma":[0.414768,0.006025473,0.5503988,0.0002631083,0.00005402803,0.0007308818,0.01352112,0.0006759784,0.01356271],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001865857,"threshold_uncertainty_score":0.006241918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006467555077786699,"score_gpt":0.215230122030682,"score_spread":0.2087625669528953,"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."}}