{"id":"W2988024090","doi":"10.1111/avj.12889","title":"Antimicrobial use and stewardship practices on Australian beef feedlots","year":2019,"lang":"en","type":"article","venue":"Australian Veterinary Journal","topic":"Pharmacological Effects and Assays","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"Australian Research Council; Meat and Livestock Australia","keywords":"Antimicrobial; Antimicrobial stewardship; Feedlot; Medicine; Livestock; Environmental health; Biotechnology; Antibiotics; Antibiotic resistance; Biology; Animal science; Microbiology","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004300574,0.0002372431,0.0002454502,0.00002356537,0.0002892815,0.0005659811,0.0002742978,0.0001449558,0.001490808],"category_scores_gemma":[0.0000629319,0.00009300107,0.0001172213,0.0001442336,0.00007436545,0.0007801664,0.00008501991,0.0005779961,0.0001994581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003272384,"about_ca_system_score_gemma":0.00000895996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006952944,"about_ca_topic_score_gemma":0.000004901639,"domain_scores_codex":[0.9984602,0.0002303489,0.0002643386,0.0003372328,0.0002409247,0.0004669857],"domain_scores_gemma":[0.9989253,0.0002719263,0.0003615622,0.00005831342,0.00004986568,0.0003329769],"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":[0.0003904044,0.0001975234,0.02646707,0.00001696598,0.00003953089,0.0004618653,0.00002769033,0.00001224324,0.9528412,0.00004658977,0.009247524,0.01025143],"study_design_scores_gemma":[0.0007445108,0.006049893,0.82977,0.0001354724,0.0000383641,0.002777676,0.0001604228,0.000009630669,0.005977513,0.00009977292,0.1537685,0.0004682297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925698,0.00001081151,7.327275e-8,0.006250546,0.0005095793,0.0002190854,0.00003456816,0.00004008252,0.0003654651],"genre_scores_gemma":[0.9956955,0.0000631734,0.00009751034,0.0007620807,0.0004965944,0.000002519198,0.00001091938,0.000002236699,0.002869448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9468637,"threshold_uncertainty_score":0.999422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097972599701636,"score_gpt":0.3199597231045978,"score_spread":0.2101624631344342,"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."}}