{"id":"W3068510430","doi":"10.1128/aac.01084-20","title":"Epidemiological and Clinical Characteristics of International Travelers with Enteric Fever and Antibiotic Resistance Profiles of Their Isolates: a GeoSentinel Analysis","year":2020,"lang":"en","type":"article","venue":"Antimicrobial Agents and Chemotherapy","topic":"Travel-related health issues","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McGill University; Ottawa Hospital; University of British Columbia","funders":"Public Health Agency; Public Health Agency of Canada; Centers for Disease Control and Prevention; International Society of Travel Medicine","keywords":"Serotype; Salmonella enterica; Antibiotic resistance; Enteric fever; Salmonella; Salmonella typhi; Typhoid fever; Microbiology; Antimicrobial; Epidemiology; Multiple drug resistance; Antibiotics; Demographics; Medicine; Paratyphoid fever; Biology; Virology; Internal medicine; Bacteria; Demography; Escherichia coli","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000178523,0.000155358,0.0007394588,0.0000650099,0.00002972304,0.000009387141,0.00005822247,0.0001176325,0.0000443194],"category_scores_gemma":[0.00003888604,0.0001039841,0.00008030015,0.0001704021,0.000310185,0.00003545725,0.00002600332,0.0001484642,3.397573e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005340306,"about_ca_system_score_gemma":0.00002302264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002624649,"about_ca_topic_score_gemma":0.000004387735,"domain_scores_codex":[0.9988561,0.00005116576,0.0005578892,0.0003093471,0.00007936368,0.0001461156],"domain_scores_gemma":[0.9993218,0.0000770187,0.000301137,0.00009603704,0.00007996723,0.0001240442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001121854,0.0002061044,0.9886931,0.0003075268,0.001157361,0.000007354222,0.0007457008,1.755143e-7,0.00517797,0.00001497711,0.00030564,0.00226224],"study_design_scores_gemma":[0.001953141,0.0003031819,0.994437,0.0002331725,0.0003220379,0.000008232902,0.00008162472,0.0005907139,0.001245372,0.000002843129,0.0007270181,0.00009571003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928829,0.0001201842,0.0002074197,0.006425577,0.00002307652,0.0002329544,0.00006595704,0.0000127311,0.00002920914],"genre_scores_gemma":[0.9850069,0.008897796,0.002150814,0.003775587,0.00005265836,5.373404e-7,0.0000376218,0.00001343434,0.00006460346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008777613,"threshold_uncertainty_score":0.4240348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03601864103842323,"score_gpt":0.3142272300687426,"score_spread":0.2782085890303194,"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."}}