{"id":"W2099315799","doi":"10.1128/aem.02139-08","title":"Cytosine Deaminase as a Negative Selection Marker for Gene Disruption and Replacement in the Genus <i>Streptomyces</i> and Other Actinobacteria","year":2008,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Actinobacteria; Biology; Streptomyces; Cytosine deaminase; Gene; Genetics; Cytosine; Escherichia coli; Selection (genetic algorithm); Cytidine deaminase; Bacteria; 16S ribosomal RNA; Genetic enhancement; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001101568,0.0001298506,0.0001625297,0.00002980132,0.0001181299,0.000006957872,0.00002130753,0.00009076517,0.00004534459],"category_scores_gemma":[0.000006757836,0.00008468595,0.00001663728,0.00003115496,0.000212361,0.0000221122,0.00003357695,0.00008454235,0.000002832359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003133933,"about_ca_system_score_gemma":0.000005040106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004602824,"about_ca_topic_score_gemma":0.000009935673,"domain_scores_codex":[0.9993618,0.000028751,0.0001313124,0.0003051185,0.0000205719,0.0001525172],"domain_scores_gemma":[0.9997903,0.00004910726,0.00005202995,0.00007529715,0.000001979789,0.00003136335],"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":[0.0007840061,0.00008024744,0.009120175,0.00001941402,0.00002575018,0.000002195227,0.0004065342,6.658323e-8,0.9856569,0.00001169048,0.0001474161,0.003745605],"study_design_scores_gemma":[0.002975789,0.000674637,0.09527987,0.00001771272,0.00009513382,0.003083095,0.0006952435,0.000009015926,0.8555014,0.00003607786,0.04140385,0.0002281315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984443,0.0002575286,0.00000699667,0.000475364,0.00001994573,0.0006585129,0.00005755403,0.000006300522,0.00007347825],"genre_scores_gemma":[0.9973124,0.0005562809,0.0004754979,0.001345659,0.00006411308,0.0000165587,0.00008569806,0.000009994191,0.0001338577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1301555,"threshold_uncertainty_score":0.3453393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00852636185434209,"score_gpt":0.2107237513434048,"score_spread":0.2021973894890627,"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."}}