{"id":"W3206102942","doi":"10.1016/j.jgar.2021.10.002","title":"Genomic and phylogenetic analysis of a multidrug-resistant mcr-1-carrying Klebsiella pneumoniae recovered from a urinary tract infection in China","year":2021,"lang":"en","type":"article","venue":"Journal of Global Antimicrobial Resistance","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Medical Science and Technology Project of Zhejiang Province","keywords":"Biology; Multilocus sequence typing; Klebsiella pneumoniae; Colistin; Genome; Whole genome sequencing; Genetics; Microbiology; Broth microdilution; Plasmid; Multiple drug resistance; MCR-1; Gene; Antimicrobial; Escherichia coli; Drug resistance; Enterobacteriaceae; Genotype","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":[0.0002759545,0.0005014407,0.0005693677,0.001620515,0.0007557491,0.000419326,0.0003597997,0.0005028201,0.0005618091],"category_scores_gemma":[0.0005044148,0.0002229546,0.0007117711,0.002471135,0.0002740348,0.0002077044,0.000440137,0.0002508302,0.0001963172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005101908,"about_ca_system_score_gemma":0.001054346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02973461,"about_ca_topic_score_gemma":0.02232542,"domain_scores_codex":[0.9995829,0.0000214202,0.00005193319,0.0001410208,0.0001243722,0.00007820327],"domain_scores_gemma":[0.9995325,0.00004304649,0.0001290254,0.00003286942,0.0001528967,0.0001096663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004897663,0.0001760961,0.3620821,0.0005808126,0.0001520441,0.003187548,0.002899555,0.0006560184,0.6048508,0.0001014638,0.0004241716,0.02439957],"study_design_scores_gemma":[0.00001405134,0.0002206775,0.9856576,0.00002097421,0.00009440867,0.001683056,0.0008840699,0.0006050277,0.009223169,0.00002272503,0.001552127,0.0000220494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969613,0.0002632978,0.0003864928,0.000037113,0.000005722552,0.00003392219,0.002053154,0.00001071656,0.0002483104],"genre_scores_gemma":[0.9914789,0.0003891266,0.001687871,0.00006608087,0.00001541795,0.00004458039,0.005663854,0.000009902421,0.0006443826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02973461,"threshold_uncertainty_score":0.0591231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006091600451773186,"score_gpt":0.2395202197396924,"score_spread":0.2334286192879192,"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."}}