{"id":"W2792835872","doi":"10.1016/j.prevetmed.2018.03.010","title":"Comparison of annual and regional variation in multidrug resistance using various classification metrics for generic Escherichia coli isolated from chicken abattoir surveillance samples in Canada","year":2018,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada; University of Guelph","funders":"University of Guelph; World Health Organization","keywords":"Multiple drug resistance; Antibiotic resistance; Cephalosporin; Antimicrobial; Veterinary medicine; Drug resistance; Biology; Antibiotics; Medicine; Microbiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001079168,0.0002366325,0.000266843,0.001910754,0.0006189331,0.0009325974,0.0007094354,0.0003220709,0.0004977154],"category_scores_gemma":[0.002933551,0.0001697133,0.0003746199,0.002769305,0.0005176229,0.0002373728,0.0004152966,0.0003123927,0.0000949024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007374309,"about_ca_system_score_gemma":0.005430741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9435559,"about_ca_topic_score_gemma":0.9746642,"domain_scores_codex":[0.9990865,0.000117203,0.00006214552,0.000202764,0.0002817033,0.0002497091],"domain_scores_gemma":[0.9966189,0.0003734634,0.0005683398,0.000105258,0.002073901,0.0002601801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000688423,0.000008207539,0.9935583,0.00002337317,0.00006775529,0.00002711418,0.0004920203,0.0003129282,0.001035282,0.00005723716,0.0004503503,0.003898658],"study_design_scores_gemma":[5.455673e-7,0.000006995405,0.9989367,0.00000465252,0.000009112711,0.00001921794,0.0004115438,0.0002635248,0.00009679938,0.000003579496,0.0002449098,0.000002413334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952677,0.0002834361,0.0002897511,0.00007568571,0.000005666839,0.00001222823,0.0032001,0.00001997464,0.0008454805],"genre_scores_gemma":[0.9973609,0.0001172485,0.0003561163,0.00002442581,0.000002890214,0.000005541096,0.001713026,0.000005946089,0.0004139628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05644411,"threshold_uncertainty_score":0.113553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0586710369620943,"score_gpt":0.3276231390533106,"score_spread":0.2689521020912163,"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."}}