{"id":"W2219940203","doi":"10.1017/s0950268815002423","title":"Modelling considerations in the analysis of associations between antimicrobial use and resistance in beef feedlot cattle","year":2015,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Lethbridge; 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":"Sulfisoxazole; Tetracycline; Odds; Odds ratio; Antibiotic resistance; Ampicillin; Antimicrobial; Medicine; Feedlot; Biology; Microbiology; Antibiotics; Logistic regression; Internal 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":[],"consensus_categories":[],"category_scores_codex":[0.001236834,0.00005001183,0.000184766,0.00005719382,0.00005792428,0.00000568216,0.00001817279,0.00006062097,0.00001537992],"category_scores_gemma":[0.000563069,0.00003857083,0.00002005342,0.0002277571,0.000205193,0.0001849859,0.0000273111,0.0001105498,0.000002776592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004542244,"about_ca_system_score_gemma":0.000003132188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003338128,"about_ca_topic_score_gemma":0.003138447,"domain_scores_codex":[0.9991352,0.0003598626,0.0002279996,0.000126306,0.0000365446,0.0001140715],"domain_scores_gemma":[0.998953,0.0008797328,0.00007179139,0.00005360891,0.000002387993,0.00003946131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002538368,0.00003117944,0.9510915,0.000001100818,0.00001632343,2.131414e-7,0.0003314673,0.04782674,0.000129184,0.0004034732,0.0001364633,0.00002975717],"study_design_scores_gemma":[0.000143766,0.00001224968,0.9912559,0.000004161139,0.00007049052,7.014019e-7,0.00001277878,0.004123746,0.00006984336,0.004223234,0.00004301436,0.00004006067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972084,0.00004413544,0.001068131,0.001163266,0.00001544574,0.00006804059,0.00001491028,0.000003072025,0.0004146334],"genre_scores_gemma":[0.9988318,0.0001168771,0.0006401071,0.000374137,0.000007416009,0.000001090297,0.00001551685,0.000001487465,0.00001156234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.043703,"threshold_uncertainty_score":0.5046273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.147730504018893,"score_gpt":0.3463162499372892,"score_spread":0.1985857459183962,"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."}}