{"id":"W4404060840","doi":"10.1099/mgen.0.001319","title":"Genomic diversity of Campylobacter jejuni and Campylobacter coli isolates recovered from human and poultry in Australia and New Zealand, 2017 to 2019","year":2024,"lang":"en","type":"article","venue":"Microbial Genomics","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Health and Medical Research Council; Agrifutures Australia; Department of Health and Aged Care, Australian Government; ACT Health; Queensland Health","keywords":"Campylobacter; Tetracycline; Biology; Campylobacter jejuni; Human pathogen; Genotype; Genetic diversity; Pathogen; Molecular epidemiology; Multiple drug resistance; Population; Campylobacter coli; Microbiology; Veterinary medicine; Genetics; Antibiotics; Environmental health; Bacteria; Gene; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002753169,0.0002307816,0.000251371,0.001585428,0.0004266109,0.0005184766,0.0001905141,0.0002560521,0.0007877203],"category_scores_gemma":[0.0007741093,0.0001790285,0.0002810425,0.001323424,0.0005003957,0.0002289957,0.000539219,0.0002070602,0.0001993623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007327386,"about_ca_system_score_gemma":0.0005887849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1172191,"about_ca_topic_score_gemma":0.1370514,"domain_scores_codex":[0.9996519,0.00003028128,0.00003832362,0.0001047688,0.000118273,0.00005649417],"domain_scores_gemma":[0.9996044,0.00003782177,0.0001215414,0.00002342404,0.0001203642,0.00009246494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003558624,0.00006172196,0.9382387,0.0001304161,0.00008406338,0.000924315,0.004116078,0.0001139513,0.04200832,0.00004820637,0.0003082686,0.01361017],"study_design_scores_gemma":[0.000002516735,0.00005719984,0.9980788,0.000007219371,0.00001155479,0.0003588903,0.0006701668,0.00003853117,0.000224242,0.000005030723,0.0005433991,0.00000241611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987669,0.000152133,0.0000687659,0.00002403545,0.000002083338,0.00001552941,0.0005498283,0.000001680422,0.0004190907],"genre_scores_gemma":[0.9971349,0.0002793612,0.0002915143,0.00003687214,0.000005316984,0.00002366305,0.001541752,0.000002681013,0.0006838918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1172191,"threshold_uncertainty_score":0.2330736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03808568525564097,"score_gpt":0.2474596468531561,"score_spread":0.2093739615975151,"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."}}