{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002983449,0.0001567986,0.0001388756,0.0001207871,0.003504527,0.0001384041,0.0001345772,0.0001001955,0.00001733285],"category_scores_gemma":[0.001355335,0.000106965,0.0001354169,0.0004165111,0.0001652519,0.00008761359,0.0001127315,0.00008325448,0.00001873063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002797769,"about_ca_system_score_gemma":0.0005067773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003223778,"about_ca_topic_score_gemma":0.000510806,"domain_scores_codex":[0.9989526,0.00007897445,0.000311863,0.0002437763,0.00003715336,0.0003756245],"domain_scores_gemma":[0.9982378,0.001008175,0.00009520514,0.0002449797,0.0003729395,0.00004092083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001468473,0.0003418033,0.0134464,0.0001334481,0.0004182809,3.390798e-7,0.0001366251,0.08994049,0.8665398,0.003582488,0.01040719,0.01358461],"study_design_scores_gemma":[0.0090503,0.002297679,0.04797041,0.0003673855,0.001765258,0.00001969381,0.0003014097,0.1006291,0.4143807,0.002041824,0.4200781,0.001098191],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9166533,0.0002127945,0.0778385,0.001079186,0.0005152716,0.002663653,0.0009457558,0.00005733449,0.00003420532],"genre_scores_gemma":[0.9951693,0.00001083311,0.001337916,0.0005076149,0.000116621,0.00002304325,0.0003096686,0.00002015578,0.002504887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4521592,"threshold_uncertainty_score":0.9977928,"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."}}