{"id":"W2497292428","doi":"10.1111/zph.12294","title":"Cluster Analysis of <i>Campylobacter jejuni</i> Genotypes Isolated from Small and Medium‐Sized Mammalian Wildlife and Bovine Livestock from Ontario Farms","year":2016,"lang":"en","type":"article","venue":"Zoonoses and Public Health","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Canadian Food Inspection Agency; University of Guelph","funders":"Ontario Ministry of Research, Innovation and Science; Canada Foundation for Innovation","keywords":"Dendrogram; UPGMA; Livestock; Biology; Veterinary medicine; Wildlife; Logistic regression; Campylobacter jejuni; Population; Genotype; Genetics; Ecology; Gene; Statistics; Environmental health; Medicine; Genetic diversity; Mathematics","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":[0.0004714516,0.0002416676,0.000776607,0.00005467746,0.0001595903,0.00007345732,0.0001668868,0.000203285,0.0008733193],"category_scores_gemma":[0.0001012587,0.00008962318,0.00009450196,0.0002857694,0.000191764,0.000161953,0.0001599554,0.0001233835,0.000004048746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004181337,"about_ca_system_score_gemma":0.00007839017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2176216,"about_ca_topic_score_gemma":0.4133642,"domain_scores_codex":[0.9979031,0.0003590333,0.000552002,0.000585344,0.0001157447,0.0004847496],"domain_scores_gemma":[0.9979122,0.001056463,0.0003023278,0.0001282818,0.00006829174,0.0005324797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000150732,0.00007456369,0.9109215,0.000006996131,0.0003157821,0.000001364614,0.0006119379,8.796078e-8,0.002489243,0.00005333388,0.0005589966,0.08481549],"study_design_scores_gemma":[0.0004847528,0.0005325765,0.9494012,0.00002188953,0.0001134748,0.000002725115,0.0002083542,0.00003045972,0.000009862089,0.0004070354,0.04859674,0.000190955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691039,0.001144001,0.00007244337,0.02884551,0.00008945077,0.0001932888,0.0004525846,0.00003415745,0.00006469151],"genre_scores_gemma":[0.9909661,0.00140264,0.0003262835,0.006628314,0.0001534957,0.000007181592,0.0003134315,0.000002514587,0.000200084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1957426,"threshold_uncertainty_score":0.9562234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03504294193419447,"score_gpt":0.2347349446682848,"score_spread":0.1996920027340904,"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."}}