{"id":"W4415813423","doi":"10.3390/antibiotics14111098","title":"Respiratory Bacteria and Antimicrobial Resistance Genes Detected by Long-Read Metagenomic Sequencing Following Feedlot Arrival, Subsequent Treatment Risk and Phenotypic Resistance in Feedlot Calves","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 Manitoba; University of Alberta; University of Saskatchewan","funders":"Genome Prairie; Genome Alberta; Alberta Agriculture and Forestry; University of Saskatchewan; University of Alberta; Ministry of Agriculture - Saskatchewan; Genome Canada","keywords":"Feedlot; Metagenomics; Bovine respiratory disease; Antibiotic resistance; Bacteria; Tetracycline; Antimicrobial; Antibiotics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001026124,0.0003613282,0.0004667764,0.0008512962,0.0003236891,0.0009943841,0.0003175058,0.0004658223,0.000474745],"category_scores_gemma":[0.001405364,0.0002442694,0.0004440082,0.0008540839,0.0002356417,0.0002906008,0.000422251,0.0003414106,0.0001065513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007913264,"about_ca_system_score_gemma":0.0004436481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01030277,"about_ca_topic_score_gemma":0.02103074,"domain_scores_codex":[0.9990795,0.0001772329,0.00005490465,0.0003095802,0.0001971074,0.0001816642],"domain_scores_gemma":[0.998838,0.0002623979,0.0005270882,0.00004469384,0.0002050471,0.0001227144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003705397,0.00003949693,0.9631634,0.00005302197,0.0001628128,0.00008815787,0.0002133479,0.0003389135,0.03150359,0.00002092462,0.00005225831,0.003993499],"study_design_scores_gemma":[0.000001564938,0.0001146971,0.9969926,0.00001429177,0.00006802023,0.0000830949,0.0002692434,0.0006501467,0.001639345,0.00001903104,0.0001424033,0.00000558309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982671,0.0002979053,0.0006011032,0.00001680115,0.000002624062,0.000007424537,0.0006944932,0.000005306518,0.0001071765],"genre_scores_gemma":[0.9978029,0.0001168298,0.0008914509,0.00003776671,0.000003716257,0.00001220374,0.0009725419,0.000004236208,0.0001583215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01030277,"threshold_uncertainty_score":0.02048564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681284303933952,"score_gpt":0.267892236848755,"score_spread":0.2510793938094155,"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."}}