{"id":"W7122351148","doi":"","title":"Metagenomic Detection of Viruses of the Respiratory Tract in Arriving Feedlot Calves to Inform Vaccine Gaps and Risk Assessment for Bovine Respiratory Disease","year":2025,"lang":"en","type":"article","venue":"University Library (University of Saskatchewan)","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genome Prairie; Genome Alberta; Ministry of Agriculture - Saskatchewan; Beef Cattle Research Council; Genome Canada","keywords":"Bovine respiratory disease; Metagenomics; Virus; Feedlot; Transmission (telecommunications); Pandemic; Respiratory tract infections; Coronavirus","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005384763,0.0004274643,0.0004528586,0.0006742005,0.0004843417,0.001211986,0.0003663768,0.0005147878,0.0005101125],"category_scores_gemma":[0.0004699393,0.0001939003,0.0004281807,0.0005384951,0.000211231,0.0003282233,0.0003758843,0.0003830332,0.0001393429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001785684,"about_ca_system_score_gemma":0.001396323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06553619,"about_ca_topic_score_gemma":0.1826013,"domain_scores_codex":[0.9997095,0.00002783526,0.000009507972,0.00009265979,0.00009683843,0.00006354866],"domain_scores_gemma":[0.9997663,0.00005610255,0.00004553291,0.000008626074,0.00009317778,0.0000302822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003777661,0.0001230913,0.5808006,0.0004384886,0.0002156111,0.0002353348,0.001603259,0.006095317,0.3667021,0.0005300727,0.0006969297,0.04218137],"study_design_scores_gemma":[0.00001209464,0.0006858233,0.9000757,0.0002341356,0.0003569557,0.0002593787,0.004002687,0.02769451,0.05923621,0.000675351,0.006704783,0.00006220097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917647,0.0009401877,0.003397131,0.0001029929,0.00001264107,0.00005110671,0.002592772,0.00003496447,0.001103365],"genre_scores_gemma":[0.9834801,0.001202811,0.01111,0.0001500054,0.000009280544,0.00005111729,0.002580419,0.00001351212,0.001402774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06553619,"threshold_uncertainty_score":0.1303095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132923992672478,"score_gpt":0.2299839824537538,"score_spread":0.218654742527029,"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."}}