{"id":"W1846004431","doi":"10.1111/j.1863-2378.2010.01357.x","title":"Evaluation of the Risk Factors for Shedding <i>Salmonella</i> with or without Antimicrobial Resistance in Swine Using Multinomial Regression Method","year":2010,"lang":"en","type":"article","venue":"Zoonoses and Public Health","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Guelph","funders":"Health Canada; Public Health Agency of Canada","keywords":"Salmonella; Veterinary medicine; Biology; Antibiotic resistance; Antimicrobial; Multinomial logistic regression; Herd; Risk factor; Microbiology; Animal science; Bacteria; Medicine; Antibiotics; Internal medicine; Mathematics; Statistics","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":[0.003771412,0.0001287755,0.0003193324,0.00001871073,0.0002820146,0.00002929198,0.0001411341,0.0001075683,0.00002444433],"category_scores_gemma":[0.0007571945,0.000036559,0.0000497174,0.0002462342,0.00007734284,0.00009935353,0.00004100371,0.0001806451,8.048011e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003648639,"about_ca_system_score_gemma":0.000152566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004225776,"about_ca_topic_score_gemma":0.02674617,"domain_scores_codex":[0.9981639,0.0007176885,0.0003321899,0.0002898703,0.0001765064,0.0003198892],"domain_scores_gemma":[0.9985605,0.0007173974,0.0003964702,0.00008072256,0.0001473569,0.0000975666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002233752,0.0000905199,0.8866612,0.00003634842,0.00001428219,1.109851e-7,0.000536856,0.00002937843,0.05637936,0.00007101227,0.0001058859,0.05585168],"study_design_scores_gemma":[0.001227564,0.000302556,0.9812343,0.0001271316,0.00004439265,0.000009661458,0.001059248,0.008885531,0.002389603,0.0002739364,0.004220062,0.0002259799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973325,0.00009154233,0.0001372568,0.001584674,0.0001833413,0.0005708885,0.00005330591,0.00001147375,0.00003505613],"genre_scores_gemma":[0.9945039,0.00005147635,0.005075895,0.0001834371,0.0001437123,0.000009776318,0.00001582685,0.000001810326,0.00001414787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09457313,"threshold_uncertainty_score":0.9910132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1064527507397425,"score_gpt":0.356589871007798,"score_spread":0.2501371202680555,"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."}}