{"id":"W2914889663","doi":"10.1371/journal.pone.0211144","title":"Functional screening for triclosan resistance in a wastewater metagenome and isolates of Escherichia coli and Enterococcus spp. from a large Canadian healthcare region","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Antimicrobial agents and applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Calgary Laboratory Services; University of Calgary","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Beef Cattle Research Council; Inha University; Calgary Laboratory Services; University of Manitoba; Alberta Agriculture and Forestry; Public Health Agency of Canada","keywords":"Triclosan; Microbiology; Enterococcus faecium; Biology; Enterococcus faecalis; Escherichia coli; Antibiotic resistance; Enterococcus; Drug resistance; Resistome; Teicoplanin; Vancomycin; Bacteria; Antibiotics; Genetics; Staphylococcus aureus; Medicine; Integron","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003832023,0.00007776982,0.0001786785,0.00003976713,0.00005972767,0.00001519009,0.00004671181,0.00005891113,0.0001301201],"category_scores_gemma":[0.000007050445,0.00007702834,0.0000196451,0.00005801066,0.00001744785,0.00004685886,0.00002254174,0.00007166064,0.000002462941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002620222,"about_ca_system_score_gemma":0.00002844713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009633265,"about_ca_topic_score_gemma":0.02340932,"domain_scores_codex":[0.9994138,0.000007351854,0.0001596144,0.0002032102,0.00004932175,0.0001667192],"domain_scores_gemma":[0.9996698,0.00003278319,0.00006534612,0.0001149719,0.00003463551,0.00008243271],"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":[0.0002122818,0.0002283733,0.12899,0.0004685215,0.0001450303,0.000001421059,0.0004320359,6.789136e-7,0.8688298,0.0003847669,0.0002372628,0.00006979481],"study_design_scores_gemma":[0.01466994,0.0002642932,0.3161158,0.003406938,0.0006245181,0.000003239472,0.002811025,0.00341599,0.6252031,0.002827842,0.02910379,0.001553438],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975094,0.0006020649,0.00006289411,0.00101296,0.000003985034,0.0002380836,0.0004204846,0.000007700691,0.0001424848],"genre_scores_gemma":[0.996044,0.00005590875,0.002378247,0.0001352539,0.00003030544,0.00004143032,0.0001290387,0.00001247762,0.001173333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2436267,"threshold_uncertainty_score":0.9969617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841876311072773,"score_gpt":0.2173461525875058,"score_spread":0.1789273894767781,"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."}}