{"id":"W2100976290","doi":"10.1128/jcm.01432-08","title":"Genomics-Based Molecular Epidemiology of <i>Campylobacter jejuni</i> Isolates from Feedlot Cattle and from People in Alberta, Canada","year":2008,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Calgary; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Feedlot; Biology; Campylobacter jejuni; Molecular epidemiology; Campylobacter; Genomics; Gene; Human pathogen; Genome; Genetics; Microbiology; Veterinary medicine; Bacteria; Genotype; Ecology","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":[0.0002103732,0.0002298464,0.0001854226,0.001603618,0.001186058,0.0007856206,0.0003845026,0.0002570564,0.0009345832],"category_scores_gemma":[0.0004086957,0.0001510035,0.0001646001,0.002095785,0.0005204873,0.00009975513,0.0003485795,0.00023107,0.00007718908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007056692,"about_ca_system_score_gemma":0.004288033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9454696,"about_ca_topic_score_gemma":0.9662574,"domain_scores_codex":[0.9996883,0.00002565355,0.00001097402,0.00006196262,0.00010509,0.0001081094],"domain_scores_gemma":[0.9997514,0.00002261239,0.00004109287,0.000006595646,0.0001045781,0.00007372546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001993679,0.00002963032,0.9778041,0.00005891254,0.00003661143,0.0002202087,0.001981393,0.0001681487,0.008383109,0.0001331773,0.00063285,0.0103526],"study_design_scores_gemma":[0.000001970948,0.0000172834,0.998179,0.000007858587,0.000009958506,0.00007602786,0.00108397,0.00007417057,0.0001577606,0.000009807892,0.0003803477,0.000001965698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974814,0.0004584864,0.0001033741,0.00007885911,0.00000341276,0.00001627039,0.0008483265,0.000005017542,0.001004826],"genre_scores_gemma":[0.9980741,0.0003042718,0.000213734,0.00004159052,0.000002733947,0.000006047066,0.0007235738,0.000001408834,0.0006324689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05453044,"threshold_uncertainty_score":0.1097031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03674976460482713,"score_gpt":0.2756840044634453,"score_spread":0.2389342398586182,"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."}}