{"id":"W2974366693","doi":"10.3389/fvets.2019.00329","title":"Antimicrobial Use on 36 Beef Feedlots in Western Canada: 2008–2012","year":2019,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Public Health Agency of Canada; Alberta Health Services","funders":"Agriculture and Agri-Food Canada; Beef Cattle Research Council; Alberta Beef Producers","keywords":"Bovine respiratory disease; Antimicrobial; Medicine; Veterinary medicine; Animal health; Animal science; Beef cattle; Livestock; Environmental health; Disease control; Biology; Immunology","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":[0.0004181494,0.0004473191,0.0002766792,0.001453422,0.001451717,0.0008724848,0.0007866409,0.0002520925,0.0009852664],"category_scores_gemma":[0.0008239983,0.0003374512,0.0002848287,0.003471238,0.0005679224,0.0002513205,0.0004745352,0.0003632132,0.0001998002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02187306,"about_ca_system_score_gemma":0.01441202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895977,"about_ca_topic_score_gemma":0.9966038,"domain_scores_codex":[0.9993854,0.0000317479,0.00003746862,0.00008943945,0.000277852,0.0001780868],"domain_scores_gemma":[0.9989727,0.00004503529,0.0002515347,0.00002252588,0.0004849814,0.0002232173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001641738,0.00003386577,0.9843765,0.0001123909,0.00007757342,0.000134906,0.000910632,0.000212223,0.001124608,0.0000469268,0.001361644,0.0114444],"study_design_scores_gemma":[0.00000276979,0.000040642,0.9970526,0.0000319147,0.00002142989,0.00006198684,0.000990605,0.000216292,0.000181537,0.000005640175,0.001387627,0.000007049648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845664,0.001048925,0.0001964873,0.0001067773,0.000009198516,0.00005387008,0.01254595,0.00002359576,0.00144881],"genre_scores_gemma":[0.9897597,0.001460781,0.0007979756,0.0001625192,0.000008551489,0.0000341712,0.005901865,0.000008882624,0.001865546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02187306,"threshold_uncertainty_score":0.1587009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198632494605029,"score_gpt":0.2618730496824929,"score_spread":0.24200980022199,"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."}}