{"id":"W4322493767","doi":"10.1128/spectrum.04144-22","title":"Molecular Epidemiology of Global Carbapenemase-Producing <i>Citrobacter</i> spp. (2015–2017)","year":2023,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"National Institutes of Health; Joint Programming Initiative on Antimicrobial Resistance; AstraZeneca","keywords":"Citrobacter; Epidemiology; Medicine; Antibiotics; Public health; Microbiology; Environmental health; Intensive care medicine; Biology; Internal medicine; Enterobacteriaceae; Genetics; Pathology; Escherichia coli","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006847286,0.0003312225,0.0005996258,0.00006430616,0.00007669199,0.000005565826,0.0005400871,0.0004547804,0.00006102245],"category_scores_gemma":[0.0003799267,0.0003217957,0.0002393017,0.0003297182,0.0004965114,0.000004651348,0.0003549149,0.0001520528,0.0002506522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005562885,"about_ca_system_score_gemma":0.0001308173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008607903,"about_ca_topic_score_gemma":0.000143548,"domain_scores_codex":[0.9972513,0.0003296168,0.000622822,0.000907605,0.00004870984,0.0008399209],"domain_scores_gemma":[0.998472,0.00005369138,0.0003159163,0.0009899589,0.00006720546,0.0001011999],"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":[0.00009708317,0.00002892169,0.2374148,0.00003057629,0.0001169759,0.00002682727,0.00000808509,0.00007403611,0.7526146,0.0006138911,0.008926749,0.00004749338],"study_design_scores_gemma":[0.00104166,0.0006015737,0.3432546,0.00006265834,0.00008291919,0.0004335979,0.00006674167,0.00001869206,0.6294048,0.001840857,0.02244186,0.0007499726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947492,0.001289997,0.0007095247,0.001156542,0.0007608614,0.0002475512,0.0002219094,0.00007183787,0.0007925263],"genre_scores_gemma":[0.9966238,0.0002238304,0.001155669,0.0005504715,0.0002465124,0.000007849816,0.0007435001,0.0000372345,0.0004111869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1232097,"threshold_uncertainty_score":0.9999234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308946147284467,"score_gpt":0.2729958151847292,"score_spread":0.2599063537118845,"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."}}