{"id":"W2104464795","doi":"10.1111/zph.12092","title":"Spatial Epidemiology of<i><scp>E</scp>scherichia coli</i><scp>O</scp>157:<scp>H</scp>7 in Dairy Cattle in Relation to Night Roosts Of<i><scp>S</scp>turnus vulgaris</i>(<scp>E</scp>uropean Starling) in<scp>O</scp>hio,<scp>USA</scp>(2007–2009)","year":2013,"lang":"en","type":"article","venue":"Zoonoses and Public Health","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Institute of Food and Agriculture; University of Guelph","keywords":"Multiple Loci VNTR Analysis; Biology; Veterinary medicine; Escherichia coli; Dairy cattle; Starling; UPGMA; Dendrogram; Variable number tandem repeat; Animal science; Microbiology; Genetic diversity; Genetics; Zoology; Demography; Genetic variation; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002734616,0.0001501317,0.0001497494,0.0009839892,0.0003857274,0.0004587224,0.0002632642,0.0003218711,0.0004085384],"category_scores_gemma":[0.0006614197,0.0001953621,0.000202842,0.001032053,0.0005689109,0.0002360404,0.0004105739,0.0002033155,0.00007563012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007264955,"about_ca_system_score_gemma":0.0005096486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04276704,"about_ca_topic_score_gemma":0.08024585,"domain_scores_codex":[0.9996314,0.00007028872,0.00002899426,0.0001292561,0.00006565865,0.00007444202],"domain_scores_gemma":[0.9989791,0.000123064,0.0005259946,0.00003613,0.0001689318,0.0001668004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004479559,0.0000139916,0.99663,0.000007542802,0.00001566059,0.00008399414,0.0002253213,0.0001121391,0.002125574,0.000009944456,0.00003429164,0.0006966019],"study_design_scores_gemma":[8.380457e-7,0.00003612274,0.9992431,0.000002612249,0.00000511355,0.00007032041,0.0004181977,0.0001120578,0.000071235,0.000003494336,0.00003554802,0.000001331598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997866,0.00002313251,0.00002765171,0.00000568204,4.19049e-7,0.000002337281,0.00006994253,0.000001033021,0.00008321952],"genre_scores_gemma":[0.9996417,0.00003778071,0.00009915756,0.000007258802,0.000001472944,0.000004432505,0.0001605617,6.529185e-7,0.00004702387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04276704,"threshold_uncertainty_score":0.08503622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04041808326823384,"score_gpt":0.2709889240741079,"score_spread":0.2305708408058741,"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."}}