{"id":"W4380876088","doi":"10.3389/fpubh.2023.1161950","title":"Epidemiology of companion animal AMR in the United States of America: filling a gap in the one health approach","year":2023,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Companion animal; One Health; Epidemiology; Antibiotic resistance; Animal health; Environmental health; Medicine; Staphylococcus pseudintermedius; Antimicrobial drug; Medical prescription; Veterinary medicine; Public health; Pathology; Antimicrobial; Biology; Antibiotics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005692513,0.0001295842,0.0005306927,0.0003275976,0.00004742406,0.000004770624,0.0004929799,0.0001093344,0.000001456463],"category_scores_gemma":[0.0004896412,0.00009253139,0.00005008503,0.001393183,0.0002717339,0.000006364687,0.00006509271,0.000259703,4.129915e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007734941,"about_ca_system_score_gemma":0.0003665293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002606963,"about_ca_topic_score_gemma":0.000186399,"domain_scores_codex":[0.995727,0.002330738,0.0008716308,0.0003100608,0.0001594199,0.0006011682],"domain_scores_gemma":[0.9988576,0.0001744499,0.0004506384,0.0004180855,0.0000412294,0.00005798314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001450622,0.0005085535,0.9601759,0.0004666474,0.00003799195,0.000001841447,0.006112838,0.0008719398,0.0002050067,0.00180344,0.02690018,0.002770653],"study_design_scores_gemma":[0.0006249017,0.0005852896,0.9558724,0.00008163631,0.00000189006,0.000003443646,0.02310065,0.01180446,0.00002257739,0.0004600067,0.007315855,0.0001269041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699678,0.000934863,0.01246447,0.01581054,0.0001144174,0.0005589707,0.00005191025,0.00000750568,0.0000894935],"genre_scores_gemma":[0.9849424,0.003017996,0.008239068,0.002776681,0.00003769918,0.00001887347,0.0009467619,0.00001309838,0.000007418908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01958432,"threshold_uncertainty_score":0.3940966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09020832137615742,"score_gpt":0.334356122428593,"score_spread":0.2441478010524356,"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."}}