{"id":"W2499855697","doi":"10.1111/zph.12295","title":"Molecular and Statistical Analysis of <i>Campylobacter</i> spp. and Antimicrobial‐Resistant <i>Campylobacter</i> Carriage in Wildlife and 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":11,"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":"Campylobacter; Campylobacter jejuni; Campylobacter coli; Livestock; Veterinary medicine; Biology; Carriage; Campylobacteriosis; Wildlife; Antibiotic resistance; Campylobacter fetus; Microbiology; Geography; Medicine; Antibiotics; Bacteria; Ecology","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":[0.0006062756,0.0002656984,0.0008682366,0.0000782245,0.0001263515,0.00009418153,0.0001229552,0.0001666623,0.0001396523],"category_scores_gemma":[0.0001305788,0.0001143294,0.00006098257,0.0003313051,0.0003350574,0.0001750444,0.0001655536,0.0001410079,9.802388e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005721166,"about_ca_system_score_gemma":0.00007444358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1122379,"about_ca_topic_score_gemma":0.1658663,"domain_scores_codex":[0.9975865,0.0003997581,0.0006248848,0.0006856843,0.0001318979,0.0005712851],"domain_scores_gemma":[0.9981694,0.0008950065,0.0002426593,0.0001176009,0.00004552277,0.0005298079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007537864,0.00008367509,0.9315721,0.00002498273,0.0001410276,0.000009836393,0.0003924331,1.857359e-7,0.01843129,0.0008799033,0.0002095361,0.04817959],"study_design_scores_gemma":[0.000452719,0.0003525433,0.9876893,0.00004915583,0.00007266286,0.000009186728,0.0002323777,0.00001287792,0.00004535979,0.0003741718,0.01048404,0.0002256146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918981,0.001116318,0.00007643269,0.005707008,0.00004793102,0.0002327958,0.0008341373,0.00002012006,0.00006717004],"genre_scores_gemma":[0.9948227,0.001730466,0.0002733083,0.002961012,0.00004068415,0.000007113952,0.000141344,0.000002740432,0.00002061888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05611713,"threshold_uncertainty_score":0.8936738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02292069913046763,"score_gpt":0.2384031748047084,"score_spread":0.2154824756742408,"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."}}