{"id":"W3213119018","doi":"10.3390/pathogens10111492","title":"Informing Stewardship Measures in Canadian Food Animal Species through Integrated Reporting of Antimicrobial Use and Antimicrobial Resistance Surveillance Data—Part I, Methodology Development","year":2021,"lang":"en","type":"article","venue":"Pathogens","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs; Alberta Agriculture and Forestry; Public Health Agency; Public Health Agency of Canada; Ministry of Agriculture - Saskatchewan","keywords":"Antimicrobial stewardship; Data integration; Stewardship (theology); Selection (genetic algorithm); Population; Biomass (ecology); Antimicrobial; Computer science; Business; Environmental resource management; Antibiotic resistance; Environmental health; Environmental science; Data mining; Biology; Ecology; Medicine; Political science","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":[0.001508516,0.0001989926,0.0004024779,0.00004392914,0.0001264488,0.00004851581,0.0002185754,0.00009621388,0.0001185303],"category_scores_gemma":[0.001918328,0.0001900758,0.00003437896,0.0003198152,0.0003108839,0.0004389206,0.0004380165,0.0001939395,0.000008584588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002213764,"about_ca_system_score_gemma":0.000186175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009947003,"about_ca_topic_score_gemma":0.4030931,"domain_scores_codex":[0.9975554,0.0002367271,0.0009140872,0.0005041548,0.0002069753,0.000582686],"domain_scores_gemma":[0.9989311,0.0001481454,0.0003671047,0.0003374557,0.00001740221,0.0001987679],"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":[0.00003362008,0.00004778265,0.479458,0.00003808398,0.00001924356,0.0001726021,0.0005590519,0.00003663452,0.5185319,0.00002011283,0.0003201208,0.0007628963],"study_design_scores_gemma":[0.0003011644,0.0000190916,0.5596825,0.0001155596,0.00001215464,0.00009576346,0.0001806541,0.00002855186,0.406051,0.00001102587,0.03324073,0.000261863],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997727,0.0001016796,0.000154456,0.0003111389,0.0001265402,0.0001346779,0.0003236846,0.00001316443,0.001107601],"genre_scores_gemma":[0.9717798,0.0001614394,0.02741124,0.0003509806,0.00002450989,8.481744e-7,0.0001284891,0.00001496872,0.0001276749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3931461,"threshold_uncertainty_score":0.9966459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2059303563934926,"score_gpt":0.3194367464606562,"score_spread":0.1135063900671636,"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."}}