{"id":"W2892754303","doi":"10.1053/j.ajkd.2018.07.014","title":"Screening for Latent Tuberculosis Infection in Migrants With CKD: A Cost-effectiveness Analysis","year":2018,"lang":"en","type":"article","venue":"American Journal of Kidney Diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; BC Centre for Disease Control; George & Fay Yee Centre for Healthcare Innovation; University of British Columbia","funders":"Health Research","keywords":"Medicine; Latent tuberculosis; Tuberculosis; Intensive care medicine; Internal medicine; Mycobacterium tuberculosis; Immunology; Pathology","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":[0.005287385,0.001279201,0.002937213,0.001966401,0.0003645129,0.001700125,0.001229399,0.001831438,0.003640177],"category_scores_gemma":[0.01403807,0.0007878371,0.00885725,0.001885522,0.0005647826,0.001736842,0.001276587,0.001674788,0.0001516963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00456239,"about_ca_system_score_gemma":0.002556941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244673,"about_ca_topic_score_gemma":0.009992397,"domain_scores_codex":[0.9946014,0.003958764,0.0003441491,0.0002830347,0.0003436232,0.0004690926],"domain_scores_gemma":[0.9933422,0.004778063,0.0009171685,0.0001796326,0.0002963236,0.0004866541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2467751,0.008585902,0.3862936,0.01757007,0.09199906,0.001495942,0.0006455271,0.06491733,0.001752025,0.003839283,0.003650576,0.1724755],"study_design_scores_gemma":[0.07116412,0.07879446,0.4719956,0.006553496,0.2130936,0.002534757,0.003494684,0.140349,0.001403827,0.004201628,0.00591546,0.00049947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713966,0.01942232,0.001938269,0.001482642,0.000149245,0.001312856,0.002675921,0.00003071385,0.001591377],"genre_scores_gemma":[0.9959007,0.001955459,0.0009264281,0.0002110317,0.00003982107,0.0002280796,0.0005861863,0.000003146367,0.0001492904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01244673,"threshold_uncertainty_score":0.03310263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077896461714577,"score_gpt":0.3632246494138158,"score_spread":0.33244568479667,"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."}}