{"id":"W4410034274","doi":"10.1186/s40813-025-00438-5","title":"Antimicrobial use in pig herds in Ireland: analysis of a national database (2019–2023)","year":2025,"lang":"en","type":"article","venue":"Porcine Health Management","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Agriculture, Food and the Marine, Ireland","keywords":"Herd; Multinomial logistic regression; Antimicrobial; Population; Quarter (Canadian coin); Antibiotic resistance; Demography; Statistics; Animal science; Veterinary medicine; Environmental health; Biology; Medicine; Geography; Mathematics; Antibiotics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003929953,0.0002807501,0.0005730928,0.002575195,0.0001878284,0.0006925525,0.0009495092,0.0004690451,0.001362562],"category_scores_gemma":[0.005650369,0.0002786155,0.001136951,0.003432743,0.0002771761,0.0006277275,0.000936459,0.0006172798,0.000534007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002053513,"about_ca_system_score_gemma":0.001897928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05766977,"about_ca_topic_score_gemma":0.06064426,"domain_scores_codex":[0.9979017,0.000466995,0.000382235,0.000498809,0.0004164187,0.0003337816],"domain_scores_gemma":[0.9922889,0.001402894,0.003991979,0.0005928556,0.001270703,0.0004527197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002382885,0.00003673174,0.992696,0.0001171873,0.0001506737,0.00007428329,0.00007014212,0.0003960089,0.0001666721,0.00002910035,0.001435967,0.004589004],"study_design_scores_gemma":[0.00001137362,0.0001057999,0.9972878,0.0000350778,0.00004741633,0.0001560871,0.000148872,0.0009547077,0.000104799,0.0000125413,0.001128717,0.00000695738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412966,0.0005569782,0.0007259164,0.0001617573,0.00001926131,0.00007734774,0.055857,0.00007598129,0.001229138],"genre_scores_gemma":[0.9439237,0.0003698388,0.001532151,0.0001559761,0.00001703931,0.000187072,0.0532607,0.00002356635,0.0005300127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05766977,"threshold_uncertainty_score":0.1146682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205672415316423,"score_gpt":0.3398178761944746,"score_spread":0.3077611520413104,"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."}}