{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001234514,0.0001294246,0.0001996861,0.00003177723,0.00003293297,0.000004174658,0.0001131635,0.0001939166,0.000124525],"category_scores_gemma":[0.00007830721,0.0001302202,0.000137738,0.00007197916,0.0001182792,0.000001098006,0.00003665951,0.00007175373,0.000004101998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007324961,"about_ca_system_score_gemma":0.0001179692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009451143,"about_ca_topic_score_gemma":0.000004441818,"domain_scores_codex":[0.9991038,0.00008139669,0.0002333571,0.0002938181,0.00005894703,0.0002286973],"domain_scores_gemma":[0.999487,0.00002141633,0.0000488206,0.0002794826,0.0001070887,0.00005622916],"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":[0.00002735833,0.00004172305,0.0009254096,0.00001939195,0.00006675516,0.000002798673,0.00001510943,0.0004865139,0.9963972,0.001128256,0.00003816254,0.0008513353],"study_design_scores_gemma":[0.0005360412,0.0001002827,0.0003868338,0.00001180538,0.00004398798,0.00009929932,0.00003912579,0.0004889154,0.9775782,0.0002235155,0.02034371,0.000148258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6511071,0.007312447,0.3398782,0.0002582164,0.0005441019,0.0001020227,0.0001376423,0.00001320071,0.0006470851],"genre_scores_gemma":[0.9965711,0.000138651,0.002815238,0.0001431695,0.0001564205,0.000005955082,0.00005873297,0.00001692207,0.00009383998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.345464,"threshold_uncertainty_score":0.5310224,"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."}}