{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002282684,0.0002223705,0.0003942388,0.00004122104,0.0001351987,0.00009946469,0.0001835713,0.0002300418,0.0001318842],"category_scores_gemma":[0.00001692314,0.0001230481,0.00005522153,0.0001105232,0.0001026163,0.0001037341,0.0004940332,0.0001978617,0.00002565841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006210998,"about_ca_system_score_gemma":0.00001434259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02931115,"about_ca_topic_score_gemma":0.005928657,"domain_scores_codex":[0.9986721,0.00009708924,0.0003318243,0.000532064,0.00003994253,0.0003269805],"domain_scores_gemma":[0.9994336,0.000186038,0.0000774875,0.00008157343,0.00001929214,0.0002020093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008402148,0.00001647362,0.2561129,0.000009075598,0.00002823026,0.000005901522,0.000678796,0.00000157226,0.7354835,0.00001374271,0.006027239,0.001538629],"study_design_scores_gemma":[0.0003857836,0.0002089654,0.9676397,0.00005665773,0.00004462155,0.00002921607,0.0002041846,0.000005653159,0.001500941,0.0009239512,0.02867741,0.0003229429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973101,0.000539446,5.554786e-7,0.0007610093,0.0002150888,0.0002426499,0.0008880748,0.00002016373,0.0000229264],"genre_scores_gemma":[0.9975693,0.0004243701,0.0001423826,0.0002876195,0.0002394171,0.000001298909,0.0001788699,0.000003030675,0.00115377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7339825,"threshold_uncertainty_score":0.9771528,"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."}}