{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.01273226,0.002893927,0.006202393,0.001448007,0.001181134,0.0005216147,0.003195164,0.003210412,0.0000903737],"category_scores_gemma":[0.05661062,0.001988735,0.001150166,0.005418382,0.001388387,0.002060503,0.001603236,0.004089137,0.0006937258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009535119,"about_ca_system_score_gemma":0.001342512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03802318,"about_ca_topic_score_gemma":0.02049725,"domain_scores_codex":[0.9705287,0.007769219,0.00772207,0.004649464,0.001722781,0.007607751],"domain_scores_gemma":[0.9370604,0.05148765,0.004742116,0.001702883,0.001230178,0.00377678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002382504,0.002191829,0.7989694,0.0006715444,0.0003589859,0.0001237922,0.01133161,0.0008653292,0.004338115,0.001821573,0.1652823,0.01402172],"study_design_scores_gemma":[0.002161266,0.002151665,0.6316715,0.0003927286,0.00009132682,0.0001184935,0.01281962,0.0008630592,0.000543736,0.00191182,0.3470531,0.0002216728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611094,0.01444316,0.0003871584,0.002176365,0.002972595,0.004309099,0.000861367,0.0004769238,0.01326392],"genre_scores_gemma":[0.9679946,0.009530713,0.001557241,0.009296941,0.00272824,0.0006732091,0.002042556,0.0001811864,0.005995325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1817708,"threshold_uncertainty_score":0.9983792,"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."}}