{"id":"W4220866956","doi":"10.21203/rs.3.rs-1387427/v1","title":"Veterinary Antimicrobials in Cattle Feedlot Environs and Irrigation Conveyances in a High-Intensity Agroecosystem in Southern Alberta, Canada","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; Alberta Ministry of Agriculture and Forestry; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Beef Cattle Research Council","keywords":"Agroecosystem; Feedlot; Irrigation; Agroforestry; Geography; Agriculture; Agronomy; Environmental science; Veterinary medicine; Agricultural science; Biology; Animal science; Forestry; Archaeology; Medicine","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":[0.0001837182,0.0003030208,0.0002421421,0.000931454,0.002161338,0.001451009,0.000723968,0.0004965377,0.001493922],"category_scores_gemma":[0.0004633262,0.0002583675,0.000242359,0.002276439,0.000927025,0.0002793563,0.0006310326,0.0003879106,0.0001274451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02411851,"about_ca_system_score_gemma":0.01729907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893316,"about_ca_topic_score_gemma":0.9966477,"domain_scores_codex":[0.9995642,0.00003392161,0.00001266458,0.000046145,0.0001458438,0.0001971656],"domain_scores_gemma":[0.9995234,0.00004573057,0.00008222324,0.000005602965,0.0002182701,0.0001247434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000318855,0.0001904072,0.9701484,0.0001421561,0.00006240899,0.001988978,0.004726036,0.002246302,0.004481407,0.0003866806,0.001169508,0.01413886],"study_design_scores_gemma":[0.000007173898,0.00005886606,0.9848374,0.00002247961,0.00001660104,0.00009993553,0.01198139,0.001462935,0.0003663723,0.00004029871,0.001096228,0.00001047074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998178,0.0001141489,0.00006680175,0.00007979104,0.000002407306,0.00001743592,0.0003671871,0.000005090281,0.001169261],"genre_scores_gemma":[0.9965832,0.0002316798,0.0002005932,0.00003632576,0.000002060538,0.000006249611,0.0003040312,0.000002239924,0.002633684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02411851,"threshold_uncertainty_score":0.1749929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05172399047330423,"score_gpt":0.3328497589633808,"score_spread":0.2811257684900766,"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."}}