{"id":"W4232749805","doi":"10.3389/fvets.2020.00063","title":"Editorial: Antimicrobial Usage in Companion and Food Animals: Methods, Surveys and Relationships With Antimicrobial Resistance in Animals and Humans","year":2020,"lang":"en","type":"editorial","venue":"Frontiers in Veterinary Science","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Population; Census; Antimicrobial; Data collection; Statistics; Toxicology; Medicine; Environmental health; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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","sts"],"consensus_categories":[],"category_scores_codex":[0.004802755,0.0004578981,0.0006774868,0.0003351002,0.0002758958,0.0002174004,0.0004876368,0.0003737815,0.000008345529],"category_scores_gemma":[0.0005338569,0.0004400465,0.00002497102,0.001092207,0.002905408,0.000820377,0.0008406348,0.001208777,0.000003048049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003893335,"about_ca_system_score_gemma":0.00009133585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001857647,"about_ca_topic_score_gemma":0.000305215,"domain_scores_codex":[0.995481,0.001235289,0.0005343104,0.001389006,0.0006439773,0.0007164352],"domain_scores_gemma":[0.9988646,0.0003727559,0.0002009407,0.0002428126,0.000009603545,0.0003093021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005649588,0.0002989135,0.5838267,0.0004636703,0.00002074871,0.000208117,0.001851367,0.00006293334,0.1359201,0.00002024062,0.2753305,0.001431796],"study_design_scores_gemma":[0.002698864,0.001318857,0.8790089,0.0008662822,0.00003220427,0.00003802371,0.0002431584,0.0004979356,0.0005367166,0.0003422837,0.1132268,0.00118995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.779766,0.0006639218,0.0006608304,0.0001770828,0.2174907,0.0006968191,0.0001620718,0.00002839095,0.0003541153],"genre_scores_gemma":[0.9076365,0.001180484,0.04827008,0.00004740656,0.04274929,0.000007411613,0.00002349154,0.00004858925,0.00003670467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2951822,"threshold_uncertainty_score":0.9998081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03743495653714479,"score_gpt":0.3089605165664759,"score_spread":0.2715255600293311,"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."}}