{"id":"W3211065767","doi":"10.3389/fvets.2021.764701","title":"Prevalence, Risk Factors, and Antimicrobial Resistance Profile of Respiratory Pathogens Isolated From Suckling Beef Calves to Reprocessing at the Feedlot: A Longitudinal Study","year":2021,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Calgary; University of Guelph","funders":"Agriculture and Agri-Food Canada; Alberta Livestock and Meat Agency; Alberta Beef Producers","keywords":"Feedlot; Pasteurella multocida; Tylosin; Biology; Florfenicol; Antibiotic resistance; Weaning; Veterinary medicine; Bovine respiratory disease; Beef cattle; Microbiology; Antimicrobial; Animal science; Antibiotics; Medicine; Bacteria","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":[0.000722854,0.0003325662,0.0002507527,0.0006872594,0.0005582247,0.0006943078,0.0002659287,0.0004429574,0.0006717581],"category_scores_gemma":[0.001069156,0.0002793744,0.0003408533,0.0004969463,0.0002942939,0.0005548992,0.0004143278,0.0005589196,0.0001391162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004354821,"about_ca_system_score_gemma":0.0003883888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008665182,"about_ca_topic_score_gemma":0.009979504,"domain_scores_codex":[0.9994637,0.0001096137,0.00003834813,0.0001596649,0.00008638573,0.0001422592],"domain_scores_gemma":[0.9990172,0.00008832284,0.0003825674,0.00006435417,0.0001949814,0.0002525791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005721654,0.00005177614,0.9983312,0.000005310028,0.00002453326,0.00005856015,0.0001969169,0.000009466319,0.0005787832,0.000003477092,0.00002447269,0.0006581349],"study_design_scores_gemma":[0.000001011368,0.0001683274,0.9990805,0.000005677177,0.00001373566,0.0001563334,0.0003715135,0.00004064168,0.00007056072,0.000004078337,0.00008539289,0.000002309312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997146,0.00008591349,0.00004300025,0.000008789809,0.000001945444,0.000003796216,0.00008461323,7.844775e-7,0.00005658927],"genre_scores_gemma":[0.9994599,0.00009141571,0.00008154615,0.00001843795,0.000004855975,0.000006412553,0.0002195418,0.00000104694,0.0001167495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008665182,"threshold_uncertainty_score":0.0172295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979431109826612,"score_gpt":0.2983462374053231,"score_spread":0.2685519263070569,"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."}}