{"id":"W3098326518","doi":"10.3201/eid2612.201221","title":"Trends in Population Dynamics of<i>Escherichia coli</i>Sequence Type 131, Calgary, Alberta, Canada, 2006–20161","year":2020,"lang":"en","type":"article","venue":"Emerging infectious diseases","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"Agence Nationale de la Recherche","keywords":"Subclade; Clade; Escherichia coli; Incidence (geometry); Population; Whole genome sequencing; Biology; Antimicrobial; Multilocus sequence typing; Drug resistance; Medicine; Demography; Microbiology; Phylogenetic tree; Genome; Genetics; Gene; Genotype; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00002572839,0.0001517879,0.0001859743,0.00004405886,0.00004610671,0.00001205561,0.0001219867,0.00007172258,0.00008530268],"category_scores_gemma":[0.0001872542,0.0001638374,0.00005928751,0.0003112558,0.00004394563,0.000007589276,0.00004765948,0.00006677846,0.000002141909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009912952,"about_ca_system_score_gemma":0.0002220177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2922244,"about_ca_topic_score_gemma":0.6110469,"domain_scores_codex":[0.9990435,0.00005287505,0.000255798,0.0002844482,0.0001257453,0.0002376465],"domain_scores_gemma":[0.999481,0.0000143576,0.0001228187,0.0001957359,0.00005712844,0.0001289608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009158246,0.00004832437,0.9806159,0.00004432478,0.00003696838,0.00000706158,0.00002267723,0.0007671077,0.0140567,0.0001123031,0.00307889,0.001118191],"study_design_scores_gemma":[0.0004580365,0.0001724186,0.9902199,0.00003358541,0.00004645119,0.000002446328,0.00002908892,0.002729485,0.001449151,0.00003207084,0.004503917,0.0003234536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997785,0.0002563842,0.000161519,0.000304908,0.0002376698,0.00008151514,0.0000697869,0.00001442298,0.001088752],"genre_scores_gemma":[0.9984535,0.00007006142,0.00005381192,0.0003256443,0.0001022125,0.000003653871,0.0006500622,0.00002383545,0.0003172291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3188225,"threshold_uncertainty_score":0.7124887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007216244033662616,"score_gpt":0.2388464813889305,"score_spread":0.2316302373552679,"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."}}