{"id":"W3108379077","doi":"10.3389/fvets.2020.596042","title":"Feedlot Cattle Antimicrobial Use Surveillance Network: A Canadian Journey","year":2020,"lang":"en","type":"review","venue":"Frontiers in Veterinary Science","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Alberta; Agriculture and Agri-Food Canada; Alberta Health Services","funders":"","keywords":"Feedlot; Antimicrobial stewardship; Antimicrobial; Business; One Health; Scrutiny; Biotechnology; Public health; Environmental health; Medicine; Antibiotic resistance; Biology; Political science; Animal science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006790427,0.0008444456,0.001463074,0.005672562,0.001412575,0.002826658,0.002288394,0.00130513,0.003820456],"category_scores_gemma":[0.006803355,0.0005179652,0.001134588,0.008846025,0.0007005472,0.001314969,0.001158558,0.002075052,0.0008658197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03206144,"about_ca_system_score_gemma":0.1527478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9180678,"about_ca_topic_score_gemma":0.9484494,"domain_scores_codex":[0.9974933,0.0002949918,0.0001790319,0.0001596996,0.001575213,0.000297793],"domain_scores_gemma":[0.9884913,0.0007939126,0.0005601254,0.0001113485,0.009110325,0.0009329541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001578254,0.00007149871,0.002902542,0.02338672,0.0003487443,0.0001418595,0.0004084192,0.0003341715,0.0006533415,0.003954947,0.09786925,0.8697706],"study_design_scores_gemma":[0.00004406472,0.0001109158,0.01474025,0.02236431,0.0005832452,0.0001893835,0.0003927401,0.0002238015,0.0003666698,0.0004774838,0.9604506,0.00005660268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009317072,0.9832488,0.0002742425,0.008468183,0.0003472931,0.0001149668,0.001458762,0.00004091058,0.005115022],"genre_scores_gemma":[0.00674631,0.9859117,0.001619478,0.001861985,0.0001220469,0.00005802993,0.001454237,0.00001138779,0.002214769],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.08193225,"threshold_uncertainty_score":0.2326232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07468824318316256,"score_gpt":0.3174181036980498,"score_spread":0.2427298605148873,"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."}}