{"id":"W4386190013","doi":"10.1016/j.prevetmed.2023.106008","title":"Comparing individual antimicrobial resistant and multi-drug resistant Salmonella enterica across serotypes, sampling sources, sampling periods, and food animal types in the United States (2014–2018)","year":2023,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Salmonella; Salmonella enterica; Serotype; Antimicrobial; Antibiotic resistance; Biology; Drug resistance; Multiple drug resistance; Veterinary medicine; Microbiology; Antibiotics; Medicine; Bacteria","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":[0.001879628,0.0002862636,0.0004921909,0.00006954475,0.000431273,0.00007871647,0.0003347544,0.0000951071,0.00002392148],"category_scores_gemma":[0.0001589537,0.0001222075,0.00005039611,0.0005732264,0.0004095534,0.00008741377,0.0004318188,0.0002370956,0.000005316066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002380864,"about_ca_system_score_gemma":0.000006249678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001442928,"about_ca_topic_score_gemma":0.0007899998,"domain_scores_codex":[0.9974915,0.0006760997,0.0004924205,0.0005633503,0.0001972066,0.0005794062],"domain_scores_gemma":[0.9984878,0.001063398,0.0001870192,0.0001099032,0.00004257089,0.0001093097],"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":[0.001991022,0.0002193937,0.4672026,0.0002154863,0.0001857655,0.0001225671,0.02038183,0.00004397762,0.5040697,0.00005615689,0.001116035,0.004395373],"study_design_scores_gemma":[0.000705535,0.001695383,0.9781643,0.000301657,0.00003768223,0.0000826991,0.01020097,0.0003518799,0.00008627192,0.0001115181,0.008008691,0.0002534587],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959155,0.001655112,0.00001587187,0.001722151,0.0001160821,0.0003649119,0.0001202943,0.00007914208,0.00001088665],"genre_scores_gemma":[0.9974243,0.001271794,0.0002491448,0.0003268108,0.0001762621,0.00002425353,0.0004934273,0.000005134872,0.00002887827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5109616,"threshold_uncertainty_score":0.4983478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456822172380906,"score_gpt":0.3315468116258012,"score_spread":0.1858645943877106,"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."}}