{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002573398,0.0002569018,0.0005764781,0.0001416789,0.0002710753,0.00008387595,0.0000633347,0.0005523648,0.00001574415],"category_scores_gemma":[0.001103496,0.0001408385,0.00003875601,0.0006217595,0.0001159368,0.0006663177,0.00006045377,0.0004305861,0.00001043369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001676864,"about_ca_system_score_gemma":0.00003518572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08403748,"about_ca_topic_score_gemma":0.59192,"domain_scores_codex":[0.9969177,0.001033537,0.000513979,0.0006325645,0.00005591126,0.0008463209],"domain_scores_gemma":[0.9976231,0.001819051,0.0002252313,0.00006093855,0.00006039886,0.0002112804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007316575,0.00002279006,0.9820238,0.00002212408,0.00001402202,0.00001461972,0.00007431301,0.00002658611,0.01536348,0.0001394712,0.001656488,0.0005690804],"study_design_scores_gemma":[0.0004367002,0.00008454874,0.9903857,0.000110613,0.00001526727,0.00003767349,0.00002254564,0.0001650449,0.0001814819,0.0002537267,0.008046216,0.0002604469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943255,0.000153659,0.00000140267,0.004613114,0.0002390151,0.0002852224,0.00004023839,0.00006270393,0.0002791681],"genre_scores_gemma":[0.9950266,0.001583262,0.00004875242,0.002894465,0.000151137,0.00001850247,0.0001246694,0.000003725549,0.0001488815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5078825,"threshold_uncertainty_score":0.922062,"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."}}