{"id":"W3133068703","doi":"10.1093/synbio/ysab008","title":"Transcriptional control of <i>Clostridium autoethanogenum</i> using CRISPRi","year":2021,"lang":"en","type":"article","venue":"Synthetic Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biological and Environmental Research; Office of Science; Joint Genome Institute; Suncor Energy Incorporated; U.S. Department of Energy","keywords":"Biomanufacturing; Bioprocess; CRISPR interference; Biochemical engineering; Computational biology; Metabolic engineering; CRISPR; Function (biology); Clostridium; Biotechnology; Gene; Biology; Genome editing; Cell biology; Genetics; Engineering; Bacteria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001966628,0.0004068121,0.000137019,0.0001807699,0.0001871951,0.0003756683,0.0003998812,0.0002151411,0.0008122125],"category_scores_gemma":[0.0001948063,0.0001259382,0.000198301,0.0001254996,0.0002947778,0.00007790758,0.0004045908,0.0005500802,0.0002800531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005980021,"about_ca_system_score_gemma":0.000442747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002944383,"about_ca_topic_score_gemma":0.003360261,"domain_scores_codex":[0.9997557,0.00002977376,0.00001682774,0.00006118508,0.00007491194,0.00006162746],"domain_scores_gemma":[0.9998111,0.00003785839,0.00006081436,0.00002691232,0.00002714601,0.00003621994],"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":[0.00002459698,0.00001138623,0.0001234026,0.00001326499,0.00000179618,0.00002658607,0.00000908855,0.0001712491,0.998394,0.0002484214,0.00008016155,0.0008960402],"study_design_scores_gemma":[0.000006584074,0.00002640651,0.001267612,0.000003019147,0.000004518733,0.00006183776,0.00001616246,0.002510656,0.9934289,0.00005715443,0.002610681,0.000006447257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609333,0.0003773384,0.03016792,0.0003432008,0.0001219745,0.00006653347,0.001102975,0.001021829,0.005864797],"genre_scores_gemma":[0.9885997,0.0001241089,0.007966349,0.00007846276,0.00000631273,0.00002655279,0.0004961282,0.00008276806,0.002619535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002944383,"threshold_uncertainty_score":0.005854487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154940856795527,"score_gpt":0.3146777938822732,"score_spread":0.303128385314318,"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."}}