{"id":"W4415116836","doi":"10.3390/antibiotics14101009","title":"The Potential for Sample Testing at the Pen Level to Inform Prudent Antimicrobial Selection for Bovine Respiratory Disease Treatment: Investigations Using a Feedlot Simulation Tool","year":2025,"lang":"en","type":"article","venue":"Antibiotics","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Alberta; University of Saskatchewan","funders":"Genome Prairie; Genome Alberta; University of Saskatchewan; University of Alberta; Natural Sciences and Engineering Research Council of Canada; Ministry of Agriculture - Saskatchewan; Beef Cattle Research Council; Genome Canada","keywords":"Antimicrobial stewardship; Bovine respiratory disease; Antimicrobial; Feedlot; Psychological intervention; Workflow; Stewardship (theology); Selection (genetic algorithm)","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":[0.003188188,0.0007144494,0.0005726533,0.0006768233,0.0005759197,0.001041966,0.001515727,0.0008512796,0.002867356],"category_scores_gemma":[0.006709759,0.0003556796,0.0008366717,0.0005683185,0.000479835,0.0005241098,0.0006881066,0.000889779,0.0001621215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004229571,"about_ca_system_score_gemma":0.004247988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1698255,"about_ca_topic_score_gemma":0.1807166,"domain_scores_codex":[0.9994093,0.0002691001,0.00002831286,0.0001095553,0.00009094978,0.0000927635],"domain_scores_gemma":[0.9925966,0.005736684,0.0003883653,0.0002956836,0.0007251406,0.0002575444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007585764,0.0005689556,0.04148587,0.0003038599,0.0001631609,0.0001082653,0.0001605572,0.9410053,0.001984336,0.001857686,0.0006455682,0.01095785],"study_design_scores_gemma":[0.0001108343,0.0005788873,0.009053038,0.00003880847,0.0001108288,0.00001969529,0.0001554663,0.9866769,0.001192233,0.0006330145,0.001404289,0.00002598158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761678,0.0002586716,0.01520139,0.0002984883,0.00003508621,0.0002980394,0.002505803,0.0002188136,0.005015959],"genre_scores_gemma":[0.9806426,0.0001673452,0.01645057,0.00006294027,0.000005303684,0.0002338644,0.001271365,0.00001715257,0.001148919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1698255,"threshold_uncertainty_score":0.337674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09571822707297237,"score_gpt":0.3645915544436083,"score_spread":0.268873327370636,"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."}}