{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04344315,0.0006496787,0.0007415532,0.002018349,0.0003130644,0.001936948,0.0008073975,0.001331929,0.0005606402],"category_scores_gemma":[0.1043873,0.0003546508,0.001141709,0.00068345,0.0009330204,0.001425578,0.0009820631,0.00102518,0.0002985547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008099805,"about_ca_system_score_gemma":0.0005168232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002280474,"about_ca_topic_score_gemma":0.002466419,"domain_scores_codex":[0.9703074,0.02195354,0.001651834,0.001601057,0.003789598,0.0006966252],"domain_scores_gemma":[0.8435348,0.1349624,0.008872474,0.005618215,0.006200793,0.0008113149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00583352,0.0003725358,0.8188632,0.0002997387,0.001858688,0.0001276943,0.001132591,0.04263481,0.01154679,0.00128691,0.0006819906,0.1153615],"study_design_scores_gemma":[0.0001301134,0.001800969,0.3325447,0.0001520984,0.0006329761,0.000616012,0.0004596608,0.6386015,0.02013975,0.003635814,0.001116401,0.0001699488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8760274,0.001005159,0.1205092,0.0002907281,0.00005419318,0.00007125564,0.0003374363,0.0002895944,0.001415043],"genre_scores_gemma":[0.9877573,0.0001023379,0.01157529,0.00004257635,0.00001566362,0.00002683977,0.0002697342,0.00002679936,0.0001835054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04344315,"threshold_uncertainty_score":0.2297521,"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."}}