{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003062565,0.0004703238,0.0004258675,0.0002993003,0.0002249399,0.0003406785,0.0003833013,0.000228312,0.0004898342],"category_scores_gemma":[0.0002786873,0.0002142255,0.000283089,0.00024637,0.0002452493,0.0001484747,0.0003254709,0.0005505529,0.0003282755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320154,"about_ca_system_score_gemma":0.0002924705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005932387,"about_ca_topic_score_gemma":0.00104469,"domain_scores_codex":[0.9996365,0.00008984445,0.000044703,0.00005709363,0.0001322632,0.00003960459],"domain_scores_gemma":[0.9997806,0.00004825727,0.00005919707,0.00003867771,0.00002326847,0.00004994954],"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":[0.0000350669,0.00001291087,0.0002260923,0.00002249562,0.000002272079,0.00005008422,0.00001065713,0.00004271866,0.9972766,0.0001159552,0.00002575217,0.002179394],"study_design_scores_gemma":[0.000008293671,0.0001487586,0.001148282,0.000005606441,0.00001412783,0.0004688956,0.00001936973,0.0007628549,0.9934756,0.00003414499,0.003908621,0.000005454342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316662,0.00176758,0.06278073,0.000202003,0.0001283505,0.000191451,0.0003647923,0.0003146917,0.002584056],"genre_scores_gemma":[0.9477217,0.001371788,0.04615715,0.00006572017,0.00001916897,0.00009797927,0.0008894724,0.0001313291,0.003545615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005932387,"threshold_uncertainty_score":0.001683354,"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."}}