{"id":"W2318840794","doi":"10.1017/s0950268813003300","title":"Latent class comparison of test accuracy when evaluating antimicrobial susceptibility using disk diffusion and broth microdilution to test<i>Escherichia coli</i>and<i>Mannheimia haemolytica</i>isolates recovered from beef feedlot cattle","year":2014,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Alberta Health Services; University of Guelph; University of Saskatchewan; Public Health Agency of Canada","funders":"Alberta Beef Producers; Beef Cattle Research Council; Public Health Agency; Public Health Agency of Canada","keywords":"Broth microdilution; Antimicrobial; Microbiology; Escherichia coli; Biology; Feedlot; Veterinary medicine; Minimum inhibitory concentration; Medicine; Animal science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00152118,0.0002019682,0.0004411953,0.00004881218,0.0002755274,0.00003562739,0.00006283483,0.000294452,0.00001449435],"category_scores_gemma":[0.01231471,0.0001987626,0.00005571044,0.00007229725,0.0001905646,0.00002640529,0.0001725017,0.0001554782,0.000002575913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003109848,"about_ca_system_score_gemma":0.00003097326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001822623,"about_ca_topic_score_gemma":0.0008358769,"domain_scores_codex":[0.9978315,0.0005994563,0.0006652295,0.0006166692,0.00004490995,0.0002422886],"domain_scores_gemma":[0.9978504,0.00122534,0.0003875966,0.000274625,0.0001433292,0.0001187495],"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":[0.00006128919,0.00009200597,0.4425484,0.00002805254,0.00001150142,9.82785e-9,0.0001012666,0.00008246665,0.5550781,0.000006531232,0.0001058427,0.001884459],"study_design_scores_gemma":[0.000745179,0.0009231934,0.8528914,0.00009378428,0.00009705794,0.00000694046,0.00002657501,0.02426051,0.1197273,0.0004422137,0.000510208,0.0002756336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928979,0.0001421156,0.005857752,0.0004105548,0.000235934,0.0003639164,0.000050256,0.0000242071,0.0000173239],"genre_scores_gemma":[0.9942536,0.0001186917,0.004891041,0.000297342,0.0001660916,0.000008494328,0.0002310363,0.00001546395,0.00001825958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4353508,"threshold_uncertainty_score":0.996005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05384747216956739,"score_gpt":0.3348475423251023,"score_spread":0.2810000701555349,"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."}}