{"id":"W4386439256","doi":"10.1017/s0950268823001462","title":"Assessing antimicrobial resistance in <i>Campylobacter jejuni</i> and <i>Campylobacter coli</i> and its association with antimicrobial use in Canadian turkey flocks","year":2023,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs; Alberta Agriculture and Forestry; Public Health Agency; Public Health Agency of Canada; Ministry of Agriculture - Saskatchewan","keywords":"Campylobacter jejuni; Campylobacter; Antibiotic resistance; Antimicrobial; Campylobacter coli; Tetracycline; Microbiology; Biology; Multiple drug resistance; Drug resistance; Antibiotics; Bacteria; Genetics","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":[0.0005668309,0.0004702684,0.0002645663,0.001603834,0.001325497,0.0008900465,0.0008768259,0.0004765915,0.001622769],"category_scores_gemma":[0.001030393,0.0002808689,0.0005503608,0.001957446,0.0004886672,0.0002251163,0.0004705283,0.0004753192,0.000209006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01232479,"about_ca_system_score_gemma":0.006656923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9669575,"about_ca_topic_score_gemma":0.9849713,"domain_scores_codex":[0.9992496,0.00004018315,0.00004630335,0.0001417695,0.000302483,0.0002195992],"domain_scores_gemma":[0.9986579,0.00006527564,0.0003055823,0.00002621901,0.000645382,0.0002996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005229843,0.00002574419,0.9962888,0.00003333643,0.00003713012,0.00006501324,0.0001839706,0.00006731962,0.0008579285,0.00001616617,0.0002941396,0.002078118],"study_design_scores_gemma":[0.000001126529,0.00003037987,0.9988937,0.00001431917,0.0000126848,0.00005105523,0.0004038418,0.000119243,0.0001265985,0.000002667376,0.000340443,0.000004052337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954193,0.0004572947,0.00009945774,0.0000818458,0.000006246374,0.00003530937,0.002364395,0.000008826895,0.001527414],"genre_scores_gemma":[0.9976091,0.0002454208,0.0003408099,0.00005016015,0.000002448854,0.00001080076,0.001218534,0.000002778704,0.0005197783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03304249,"threshold_uncertainty_score":0.08942306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103266775582833,"score_gpt":0.2598850022633505,"score_spread":0.2288523345075222,"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."}}