{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000857464,0.000163644,0.0002714155,0.0002740917,0.0008491606,0.00006781182,0.0003381573,0.00008143803,0.0001084955],"category_scores_gemma":[0.0004179074,0.0001275475,0.00005150844,0.001170133,0.0009683429,0.0002246239,0.0005813992,0.0002605825,0.000007181457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113742,"about_ca_system_score_gemma":0.0003492526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002820135,"about_ca_topic_score_gemma":0.0001204118,"domain_scores_codex":[0.9979587,0.0004315015,0.0003396017,0.000755856,0.000101009,0.0004133417],"domain_scores_gemma":[0.9990327,0.0001113758,0.0001313686,0.0004878814,0.0001797384,0.00005696308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002572009,0.000156813,0.4293633,0.00003626656,0.00002528272,0.00002542482,0.001082918,0.00001477034,0.5682194,0.000001583508,0.0005528142,0.0002642699],"study_design_scores_gemma":[0.0005946105,0.0005415503,0.9325571,0.000198536,0.00004149665,0.00002462382,0.002071579,0.00001988206,0.0631276,0.00001993868,0.0005907136,0.0002123929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930013,0.005216427,0.0004178975,0.00002728559,0.0005171795,0.0004086489,0.0003198149,0.00002002485,0.00007135137],"genre_scores_gemma":[0.9985647,0.0001179323,0.0007368044,0.00002170827,0.00001341605,0.00001440679,0.00001156016,0.000009393643,0.0005101411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5050918,"threshold_uncertainty_score":0.6531143,"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."}}