{"id":"W2792361736","doi":"10.14745/ccdr.v43i11a02","title":"Enhancing antimicrobial stewardship by strengthening the veterinary drug regulatory framework","year":2017,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Antimicrobial stewardship; Antimicrobial; Veterinary Drugs; Business; Veterinary drug; Stewardship (theology); Antimicrobial drug; Antibiotic resistance; Public health; Veterinary medicine; Biotechnology; Medicine; Antibiotics; Political science; Nursing; Biology; Microbiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004747741,0.0002290893,0.0003144437,0.00001802981,0.002833415,0.00009381295,0.00140778,0.0001251595,0.0001433628],"category_scores_gemma":[0.0004779775,0.0001769885,0.0001177015,0.00003712751,0.0005783402,0.0001151749,0.0005837335,0.0006215316,0.0000135973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001269682,"about_ca_system_score_gemma":0.001265454,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1270402,"about_ca_topic_score_gemma":0.09155886,"domain_scores_codex":[0.9983986,0.0002528198,0.0004438349,0.0003257037,0.0001035658,0.0004754881],"domain_scores_gemma":[0.9955091,0.0002558517,0.000489022,0.003572839,0.00007434245,0.00009879011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008205825,0.0004578367,0.06763055,0.0004775921,0.001481816,0.005737852,0.0007856077,0.00005392732,0.1732639,0.0015433,0.7445074,0.003239585],"study_design_scores_gemma":[0.001026239,0.00004483279,0.1037598,0.001687704,0.0003507574,0.0005240925,0.001507746,0.00001206989,0.05511665,0.0002750703,0.8346056,0.001089406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839435,0.0104657,0.00005681795,0.002172519,0.001164074,0.0001973516,0.00009611304,0.00005317572,0.001850785],"genre_scores_gemma":[0.9904737,0.0002180973,0.0000688553,0.0004794843,0.00005009424,0.000007325137,0.0001402632,0.00003034251,0.008531842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1181473,"threshold_uncertainty_score":0.9984648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186121243499663,"score_gpt":0.2436629561809784,"score_spread":0.2318017437459818,"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."}}