{"id":"W2952210119","doi":"10.3389/fvets.2019.00220","title":"Developing Canadian Defined Daily Doses for Animals: A Metric to Quantify Antimicrobial Use","year":2019,"lang":"en","type":"article","venue":"Frontiers in Veterinary Science","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Public Health Agency of Canada","funders":"Université de Montréal; Public Health Agency; Public Health Agency of Canada","keywords":"Antimicrobial; Medicine; Livestock; Dosing; Defined daily dose; Veterinary medicine; Environmental health; Drug; Biology; Pharmacology; Ecology","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":[0.0004878965,0.0001646403,0.000284788,0.001274126,0.0003048857,0.00007242693,0.0006162481,0.0001317027,0.00002358234],"category_scores_gemma":[0.0002798585,0.0001543277,0.00005134092,0.001693456,0.000299861,0.0003167022,0.0001137256,0.0001240898,0.0001578003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002751154,"about_ca_system_score_gemma":0.0009191413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004054948,"about_ca_topic_score_gemma":0.001433099,"domain_scores_codex":[0.998318,0.00005063976,0.0002467323,0.0005581016,0.0000512846,0.0007752625],"domain_scores_gemma":[0.9994074,0.00008145249,0.00006098727,0.0002936189,0.00008347831,0.00007303876],"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":[0.0006149126,0.00005243726,0.1330772,0.0001114369,0.00004466013,0.00004770731,0.0008300582,0.00004860374,0.8479429,0.002999549,0.01135762,0.002872952],"study_design_scores_gemma":[0.002624924,0.002325016,0.5953295,0.0005873246,0.0000296628,0.0002132355,0.001899272,0.0002044923,0.04350755,0.0001860546,0.3517685,0.001324488],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880194,0.0005587621,0.006777551,0.0003351677,0.003465319,0.0005491992,0.0000521049,0.00002773251,0.0002147538],"genre_scores_gemma":[0.9457824,0.00003596484,0.05250908,0.0004995113,0.00001135988,0.000005767222,0.00001045953,0.00001235416,0.001133076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8044353,"threshold_uncertainty_score":0.6293302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03802261037866168,"score_gpt":0.2808459745526147,"score_spread":0.2428233641739531,"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."}}