{"id":"W2974366693","doi":"10.3389/fvets.2019.00329","title":"Antimicrobial Use on 36 Beef Feedlots in Western Canada: 2008–2012","year":2019,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Public Health Agency of Canada; Alberta Health Services","funders":"Agriculture and Agri-Food Canada; Beef Cattle Research Council; Alberta Beef Producers","keywords":"Bovine respiratory disease; Antimicrobial; Medicine; Veterinary medicine; Animal health; Animal science; Beef cattle; Livestock; Environmental health; Disease control; Biology; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004235323,0.0001604432,0.0002430875,0.000706293,0.0001576344,0.00005525708,0.0004534541,0.0001062588,0.0002735188],"category_scores_gemma":[0.00005546977,0.000156487,0.0000371048,0.0009142405,0.0004271904,0.0005663528,0.0001980014,0.0003504134,0.000206207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004604156,"about_ca_system_score_gemma":0.001083406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08069023,"about_ca_topic_score_gemma":0.02979526,"domain_scores_codex":[0.9983032,0.0001489772,0.0002398709,0.0005012759,0.00009089078,0.0007158045],"domain_scores_gemma":[0.9994283,0.00004747285,0.00004918598,0.0003690483,0.00004645754,0.00005948992],"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":[0.0005772317,0.0003038589,0.2872176,0.0000311661,0.0000132964,0.0001459408,0.0001362912,0.0002685841,0.6712236,0.00004784911,0.03821072,0.001823827],"study_design_scores_gemma":[0.002183846,0.0008007858,0.8631679,0.0002163394,0.00000491592,0.0002402848,0.000186693,0.00008086678,0.009342176,0.00001648219,0.1232163,0.0005434167],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951241,0.00033877,0.00003713333,0.0001393288,0.003292234,0.0003180859,0.00005106139,0.00001708666,0.0006821963],"genre_scores_gemma":[0.9948519,0.00005626301,0.0001321783,0.0002936199,0.00001373538,0.000007215313,0.00001703953,0.0000101343,0.004617861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6618814,"threshold_uncertainty_score":0.9879084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198632494605029,"score_gpt":0.2618730496824929,"score_spread":0.24200980022199,"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."}}