{"id":"W2965222909","doi":"10.1111/1462-2920.14760","title":"Gene pool transmission of multidrug resistance among <i>Campylobacter</i> from livestock, sewage and human disease","year":2019,"lang":"en","type":"article","venue":"Environmental Microbiology","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Directorate for Biological Sciences; Ministerio de Economía y Competitividad; University of Bath; Biotechnology and Biological Sciences Research Council; Food Standards Agency; Medical Research Council Canada; Wellcome Trust","keywords":"Biology; Campylobacter; Campylobacter jejuni; Campylobacter coli; Antibiotic resistance; Mobile genetic elements; Multiple drug resistance; Microbiology; Tetracycline; Plasmid; Drug resistance; Gene; Genetics; Antibiotics; Bacteria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001858433,0.0001770768,0.0002935427,0.0006485003,0.0002283309,0.0005592249,0.0001786625,0.000306603,0.001222861],"category_scores_gemma":[0.0005171216,0.0001868836,0.0001880807,0.0004797308,0.0003510309,0.0001241594,0.0002961753,0.0002855917,0.0002163928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004192788,"about_ca_system_score_gemma":0.0002454525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005939718,"about_ca_topic_score_gemma":0.004875959,"domain_scores_codex":[0.9997134,0.00004990466,0.000021031,0.0001030782,0.00004676098,0.00006598356],"domain_scores_gemma":[0.9996686,0.00008073602,0.0001130728,0.00003257132,0.00005656492,0.00004835814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007213898,0.00009893961,0.7277881,0.0001602687,0.00008028099,0.0005485462,0.0008094862,0.0002547064,0.2550861,0.0001264907,0.0002088671,0.01411695],"study_design_scores_gemma":[0.00001069101,0.0001849803,0.9914116,0.0000266465,0.00002630092,0.001060836,0.0005824698,0.0001394948,0.005832592,0.00006387094,0.0006527061,0.000007844344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991905,0.0002260678,0.0001006347,0.00002412724,0.000001660419,0.000003941606,0.000174857,0.000002923652,0.0002752464],"genre_scores_gemma":[0.9991252,0.0001254452,0.0002298278,0.00002173602,0.000002404771,0.000003718552,0.000321952,0.000002904419,0.0001668309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005939718,"threshold_uncertainty_score":0.0118103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005144610542559566,"score_gpt":0.1753076104462263,"score_spread":0.1701629999036668,"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."}}