{"id":"W2981585410","doi":"10.1016/j.vetmic.2019.108478","title":"Genetic relatedness and antimicrobial resistance in respiratory bacteria from beef calves sampled from spring processing to 40 days after feedlot entry","year":2019,"lang":"en","type":"article","venue":"Veterinary Microbiology","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Agriculture and Agri-Food Canada","funders":"China Scholarship Council; Alberta Agriculture and Forestry","keywords":"Pasteurella multocida; Biology; Feedlot; Bovine respiratory disease; Microbiology; Antibiotic resistance; Pulsed-field gel electrophoresis; Antimicrobial; Beef cattle; Veterinary medicine; Serotype; Animal science; Bacteria; Antibiotics; Medicine; Gene; Genotype; Genetics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002113404,0.0003944014,0.0006028224,0.0003520593,0.0001699173,0.00007267181,0.0003131675,0.000559441,0.001655664],"category_scores_gemma":[0.00004270353,0.0004003799,0.00009530027,0.0002764956,0.0002810608,0.0001637758,0.0005521343,0.0005017543,0.0008846098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000143204,"about_ca_system_score_gemma":0.0001422555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001477081,"about_ca_topic_score_gemma":0.0006671503,"domain_scores_codex":[0.9969393,0.0005375368,0.0005883691,0.00106478,0.00002133494,0.000848682],"domain_scores_gemma":[0.9990088,0.0001746588,0.0001246026,0.0005230269,0.00007125164,0.00009766181],"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":[0.002461829,0.0001491078,0.02366426,0.00008245173,0.00008877782,0.00007591429,0.0005846409,0.000005036711,0.9716151,0.000005998739,0.0004359772,0.0008309383],"study_design_scores_gemma":[0.005596811,0.0007387941,0.6671264,0.001053718,0.00008686705,0.0001584456,0.0002351888,0.000002717536,0.1967759,0.0001200933,0.1267332,0.001371878],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912935,0.006081979,0.00004969051,0.0001477638,0.0008507489,0.0006122872,0.0008008114,0.00008139235,0.00008176282],"genre_scores_gemma":[0.9977056,0.0001173993,0.0008364171,0.0005709794,0.00007773278,0.00006176007,0.0002444756,0.00005320299,0.0003324822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7748392,"threshold_uncertainty_score":0.9998933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727576357076924,"score_gpt":0.2583731298560941,"score_spread":0.2410973662853248,"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."}}