{"id":"W2753094380","doi":"10.1016/j.prevetmed.2017.09.004","title":"Prevalence of antimicrobial resistance in fecal Escherichia coli and Salmonella enterica in Canadian commercial meat, companion, laboratory, and shelter rabbits (Oryctolagus cuniculus) and its association with routine antimicrobial use in commercial meat rabbits","year":2017,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Agency of Canada; University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Salmonella enterica; Salmonella; Antimicrobial; Serotype; Biology; Antibiotic resistance; Feces; Veterinary medicine; Microbiology; Tetracycline; Bacteria; Antibiotics; Medicine","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":[0.001010891,0.0002781548,0.0007120101,0.00008681206,0.0001919215,0.00004234594,0.0002476056,0.0001988051,0.00002289741],"category_scores_gemma":[0.0004147225,0.000157046,0.00002575702,0.0002291853,0.000334154,0.0003306197,0.0001909847,0.0002983495,6.753032e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083314,"about_ca_system_score_gemma":0.00003846656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04331089,"about_ca_topic_score_gemma":0.3534019,"domain_scores_codex":[0.9974427,0.0008494732,0.0005315819,0.0005189785,0.0001519516,0.0005053188],"domain_scores_gemma":[0.9988142,0.0003836913,0.0003840723,0.0001159884,0.0001080949,0.0001939359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006477491,0.00009292677,0.8589456,0.0001091379,0.00001591735,0.00007041299,0.0005123407,4.365957e-7,0.1390837,0.00002216191,0.0001734939,0.0003261196],"study_design_scores_gemma":[0.001996383,0.0004947304,0.9948467,0.0008603328,0.00003024798,0.0000196801,0.00005872465,0.0000434582,0.001054563,0.0000122118,0.0003456882,0.0002372731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957184,0.0006421183,9.02218e-7,0.002732742,0.0001283743,0.0005456335,0.0001536133,0.000008729357,0.00006952399],"genre_scores_gemma":[0.998544,0.0008543411,0.00005694882,0.0003359017,0.00009602553,0.00001154583,0.00003475057,0.000004309366,0.00006220874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.310091,"threshold_uncertainty_score":0.9630598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03236330099546449,"score_gpt":0.266966883647505,"score_spread":0.2346035826520405,"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."}}