{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000596245,0.0002063949,0.0002238526,0.000862114,0.000800007,0.0007630821,0.0003658629,0.0001946392,0.0009292407],"category_scores_gemma":[0.0022106,0.0003252215,0.0003226662,0.001107902,0.0005623847,0.0002255206,0.0003371922,0.0001741665,0.00009443758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004599392,"about_ca_system_score_gemma":0.003370608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7103971,"about_ca_topic_score_gemma":0.8095837,"domain_scores_codex":[0.9993984,0.00009544093,0.0000377548,0.0001143484,0.0002154677,0.0001386128],"domain_scores_gemma":[0.9983621,0.0003228544,0.000632801,0.00009910083,0.0003805791,0.0002025524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007009505,0.000007166474,0.9961216,0.00001397676,0.00003322687,0.00007776319,0.0002764625,0.00009324928,0.001895272,0.00001762093,0.00004743302,0.001346168],"study_design_scores_gemma":[0.00000130706,0.00001790386,0.9992622,0.000002506351,0.000008769657,0.00003441187,0.0002412169,0.0001544088,0.0001300802,0.000005302525,0.0001402002,0.000001634245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989875,0.00008730491,0.0001582732,0.00001734699,9.671414e-7,0.00001076192,0.0003597786,0.000002429958,0.0003755678],"genre_scores_gemma":[0.9983749,0.00009117046,0.0004596331,0.0000110797,0.000001472634,0.00001828956,0.0005854474,0.000002274303,0.0004556895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2896029,"threshold_uncertainty_score":0.5826169,"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."}}