{"id":"W2008177395","doi":"10.1038/nprot.2013.105","title":"Design and use of synthetic regulatory small RNAs to control gene expression in Escherichia coli","year":2013,"lang":"en","type":"article","venue":"Nature Protocols","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":183,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Synthetic biology; Biology; Computational biology; Gene; Function (biology); Escherichia coli; Functional genomics; Plasmid; Gene expression; Regulation of gene expression; Metabolic engineering; Transfer RNA; Genetics; Genomics; RNA; Genome","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009241636,0.0004496379,0.0004568245,0.0003552853,0.0003625951,0.0008778157,0.0007405458,0.0004860642,0.0006002992],"category_scores_gemma":[0.0006627619,0.0004541178,0.0004440093,0.0002714798,0.0005062343,0.000255691,0.0003276658,0.0008070259,0.0004200912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006737232,"about_ca_system_score_gemma":0.0006414158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007124077,"about_ca_topic_score_gemma":0.001445953,"domain_scores_codex":[0.9992631,0.000146726,0.0001124164,0.0001286824,0.0002664444,0.00008255425],"domain_scores_gemma":[0.9996533,0.00008648737,0.00008363701,0.00005994056,0.0000646737,0.00005182899],"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":[0.00009060703,0.00004535212,0.0001117036,0.00007396047,0.000007137364,0.00004900055,0.00003076954,0.0008876671,0.9924407,0.001609962,0.0001107457,0.004542504],"study_design_scores_gemma":[0.00001532124,0.00007178425,0.0001008173,0.000004611308,0.000008465574,0.00003626362,0.00001197623,0.001777746,0.9947532,0.0001087706,0.003103245,0.000007818125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.687411,0.002170889,0.2990623,0.0006654959,0.0004155819,0.0008643584,0.0009629084,0.001534595,0.006912952],"genre_scores_gemma":[0.8200935,0.001380149,0.1707851,0.000298935,0.00002288457,0.0004226562,0.0009071756,0.0002408973,0.005848768],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0009241636,"threshold_uncertainty_score":0.004888237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108039518141564,"score_gpt":0.2846392700289164,"score_spread":0.2735588748475007,"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."}}