{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009407846,0.0009129094,0.0007055774,0.007984247,0.00104308,0.002499402,0.002350787,0.000526648,0.002030767],"category_scores_gemma":[0.01561694,0.0002528871,0.0009969581,0.009848038,0.0008479119,0.001313408,0.001522448,0.0009681807,0.0005328796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02821264,"about_ca_system_score_gemma":0.02238405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6706564,"about_ca_topic_score_gemma":0.7739702,"domain_scores_codex":[0.9810079,0.002347927,0.001575864,0.001027118,0.01334093,0.0007003779],"domain_scores_gemma":[0.9767348,0.001515095,0.004100863,0.000935422,0.01587471,0.0008390244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001042071,0.000383179,0.578146,0.002826364,0.001081854,0.0001692181,0.001870229,0.01072494,0.01433252,0.01108565,0.04183591,0.336502],"study_design_scores_gemma":[0.00005025128,0.0009922384,0.8099825,0.0004448961,0.0002537751,0.0002292256,0.001525649,0.006692314,0.01363629,0.0013664,0.1646665,0.0001600256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4327171,0.01506527,0.1336932,0.004256767,0.0007650167,0.006200755,0.2132316,0.00181465,0.1922557],"genre_scores_gemma":[0.6677533,0.006273171,0.2394309,0.001554937,0.0001085947,0.002240435,0.06852768,0.0002217327,0.01388919],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3293436,"threshold_uncertainty_score":0.6625664,"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."}}