{"id":"W4220715988","doi":"10.2807/1560-7917.es.2022.27.12.2002070","title":"Country-specific approaches to latent tuberculosis screening targeting migrants in EU/EEA* countries: A survey of national experts, September 2019 to February 2020","year":2022,"lang":"en","type":"article","venue":"Eurosurveillance","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Novo Nordisk Fonden; Novo Nordisk; Ministero della Salute; Rosetrees Trust; European Commission; European Society of Clinical Microbiology and Infectious Diseases; National Institute for Health and Care Research; “la Caixa” Foundation; Academy of Medical Sciences; World Health Organization","keywords":"Latent tuberculosis; Tuberculosis; Refugee; European union; Incidence (geometry); Focus group; Active tuberculosis; Descriptive statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003853765,0.0002310883,0.000192494,0.001031534,0.0006419463,0.0006599947,0.0003408215,0.0006006672,0.002783118],"category_scores_gemma":[0.004313676,0.0002830189,0.0003149831,0.0008528588,0.0003498144,0.001003993,0.001239849,0.0003558719,0.0004170623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007078963,"about_ca_system_score_gemma":0.0009093058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008226187,"about_ca_topic_score_gemma":0.01227286,"domain_scores_codex":[0.9985991,0.0005744197,0.0002507893,0.0001252919,0.0001630119,0.0002873701],"domain_scores_gemma":[0.9972169,0.0006400481,0.001095322,0.000084789,0.0005301693,0.0004326291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002167086,0.0001394694,0.9258746,0.001091728,0.00005162524,0.0006465085,0.03524539,0.0001172453,0.001210517,0.0001362703,0.004539137,0.03073084],"study_design_scores_gemma":[0.00001297558,0.000165795,0.9487172,0.0003911835,0.00001880138,0.0004080539,0.04214089,0.0001140894,0.0002099957,0.00002232875,0.007780529,0.00001808877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951074,0.001163516,0.0001331906,0.0005380422,0.00001875498,0.00009845217,0.001093035,0.000008078041,0.001839579],"genre_scores_gemma":[0.9950537,0.001567537,0.0005036469,0.0006504449,0.00001958469,0.0002392157,0.0008600678,0.000005811088,0.001099997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008226187,"threshold_uncertainty_score":0.02038091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038798602930997,"score_gpt":0.3108311833634243,"score_spread":0.2069513230703246,"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."}}