{"id":"W2479285410","doi":"10.1128/aem.02128-16","title":"Extending CRISPR-Cas9 Technology from Genome Editing to Transcriptional Engineering in the Genus Clostridium","year":2016,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centurion Biofuels (Canada); University of Waterloo","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada","keywords":"CRISPR; Genome editing; Biology; Genome; Genetics; Computational biology; Cas9; 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":[0.0004664719,0.0005747947,0.0003108027,0.000486403,0.0004305201,0.0005603664,0.0005702287,0.0005152129,0.0009717484],"category_scores_gemma":[0.0004299537,0.000299423,0.000462438,0.0004807161,0.0003501976,0.0002657616,0.000759621,0.001139107,0.000401131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006609061,"about_ca_system_score_gemma":0.0009109011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002878229,"about_ca_topic_score_gemma":0.002540314,"domain_scores_codex":[0.9995159,0.00004381377,0.00004956812,0.00009853474,0.0001911999,0.0001009885],"domain_scores_gemma":[0.9998466,0.00002149681,0.00003789282,0.00002685881,0.00003056303,0.00003667717],"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":[0.00009148964,0.00002526282,0.0003635928,0.0001599303,0.000008146306,0.0001985162,0.00005454725,0.0008509124,0.9843417,0.001285222,0.0002380502,0.01238268],"study_design_scores_gemma":[0.0000240059,0.0002558574,0.00208236,0.00004954013,0.000029865,0.0005401242,0.00006448138,0.004031234,0.9687008,0.0005062967,0.02367334,0.00004198862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.791666,0.005190624,0.1758276,0.001433518,0.0005724421,0.0005401836,0.002289061,0.003027761,0.01945284],"genre_scores_gemma":[0.8817047,0.003039116,0.1075743,0.0002624408,0.00002577183,0.0001999597,0.001687851,0.0001976678,0.005308373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002878229,"threshold_uncertainty_score":0.005723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002988185360314819,"score_gpt":0.1948008756512281,"score_spread":0.1918126902909133,"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."}}