{"id":"W2964885400","doi":"10.1093/jtm/taz055","title":"Cutaneous and mucocutaneous leishmaniasis in travellers and migrants: a 20-year GeoSentinel Surveillance Network analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Travel Medicine","topic":"Research on Leishmaniasis Studies","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trillium Health Centre; McGill University Health Centre; Centre for Global Health Research; University Health Network; University of Toronto; Toronto General Hospital; Public Health Ontario","funders":"National Institutes of Health; Public Health Agency of Canada; Centers for Disease Control and Prevention; International Society of Travel Medicine","keywords":"Medicine; Leishmaniasis; Cutaneous leishmaniasis; Mucocutaneous zone; Epidemiology; Leishmania braziliensis; Demography; Immigration; Mass migration; Disease; Geography; Immunology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009565408,0.0002425888,0.0002189524,0.002338257,0.0003169242,0.0006529217,0.0004265987,0.0002487715,0.0007199157],"category_scores_gemma":[0.001440249,0.000161155,0.0004093245,0.002321414,0.0001934124,0.0004778454,0.0008602247,0.0002679773,0.0001168773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006367984,"about_ca_system_score_gemma":0.0005849523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03682469,"about_ca_topic_score_gemma":0.044265,"domain_scores_codex":[0.9995257,0.0001123079,0.00008326599,0.000107897,0.00007846892,0.0000923203],"domain_scores_gemma":[0.9989395,0.0001083862,0.0005727234,0.00006520256,0.0001550014,0.0001592458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003021562,0.000006833742,0.9984282,0.00002045825,0.00004428069,0.0000736168,0.0001464216,0.0000555905,0.00007104115,0.00001217175,0.0001394956,0.0009716894],"study_design_scores_gemma":[0.00000273817,0.00003889957,0.9980834,0.000026914,0.00003201894,0.0002638622,0.0008187559,0.0002995099,0.0000331776,0.000008488602,0.000388964,0.000003346316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973313,0.0002027953,0.00007507186,0.00003537743,0.00000244315,0.00001785316,0.002114767,0.00000422161,0.0002161106],"genre_scores_gemma":[0.996463,0.0002668382,0.000227382,0.00002133101,0.000004234508,0.00003558002,0.002878716,0.000002608949,0.0001003836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03682469,"threshold_uncertainty_score":0.07322073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317005016397266,"score_gpt":0.2710877535920599,"score_spread":0.2579177034280873,"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."}}