{"id":"W4415926165","doi":"10.3390/antibiotics14111114","title":"Evaluating the Diagnostic Performance of Long-Read Metagenomic Sequencing Compared to Culture and Antimicrobial Susceptibility Testing for Detection of Bovine Respiratory Bacteria and Indicators of Antimicrobial Resistance","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":"Metagenomics; Bovine respiratory disease; Antibiotic resistance; Antimicrobial; Bacteria; Drug resistance; Feedlot","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":[0.008009322,0.0009171295,0.000597587,0.001355894,0.0003100921,0.001622067,0.0006114597,0.001144971,0.0005682097],"category_scores_gemma":[0.01150395,0.0004152125,0.000908298,0.0007392164,0.0003884249,0.0008847855,0.0008208593,0.0006200263,0.0002649571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009904603,"about_ca_system_score_gemma":0.0006238209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002961681,"about_ca_topic_score_gemma":0.005694878,"domain_scores_codex":[0.9960538,0.001725379,0.0002624167,0.0009054079,0.0008557673,0.0001972094],"domain_scores_gemma":[0.9905577,0.005434989,0.001608738,0.0004415462,0.001695082,0.0002619438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002435916,0.0006256212,0.5905094,0.0007956722,0.001163525,0.0001504454,0.000452599,0.02087339,0.3189462,0.0004913021,0.00030314,0.06325297],"study_design_scores_gemma":[0.0000754732,0.004083314,0.3818531,0.0002457521,0.001257219,0.0007540191,0.0006717961,0.333191,0.2743796,0.001319082,0.00196751,0.0002020276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531707,0.002163092,0.04221734,0.0001844806,0.00003694573,0.0001061989,0.0009593929,0.0001636866,0.0009982127],"genre_scores_gemma":[0.9673959,0.0003781617,0.03096824,0.00009749218,0.00001576218,0.00004983066,0.0007717603,0.00002604259,0.0002968393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008009322,"threshold_uncertainty_score":0.04235786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090025009159935,"score_gpt":0.3311518334447389,"score_spread":0.2902515833531395,"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."}}