{"id":"W2099785108","doi":"10.2215/cjn.01280406","title":"Detecting Latent Tuberculosis Infection in Hemodialysis Patients","year":2006,"lang":"en","type":"article","venue":"Clinical Journal of the American Society of Nephrology","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; St. Michael's Hospital; University Health Network","funders":"","keywords":"Medicine; Tuberculosis; Tuberculin; Latent tuberculosis; Internal medicine; Hemodialysis; Population; Tuberculosis diagnosis; Active tuberculosis; History of tuberculosis; Medical history; Immunology; Mycobacterium tuberculosis; Pathology; Environmental health","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":[0.0006226045,0.0001362855,0.0002609026,0.0004704357,0.0002539757,0.0004051373,0.0001264825,0.0003576067,0.0006058901],"category_scores_gemma":[0.003078889,0.0001400465,0.0001969419,0.000290624,0.0001844786,0.0003248453,0.0002849202,0.0003928624,0.0001239994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001681713,"about_ca_system_score_gemma":0.0002115285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319037,"about_ca_topic_score_gemma":0.00162686,"domain_scores_codex":[0.9994982,0.0002291208,0.00005004088,0.00004978071,0.0001100747,0.00006274738],"domain_scores_gemma":[0.9988706,0.0005054976,0.0003189385,0.00003702823,0.00009609698,0.0001718768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000819682,0.00004096927,0.99656,0.000007735747,0.000008404598,0.0001037646,0.00008163237,0.00002717488,0.0002559706,0.000005595893,0.00004591221,0.002780937],"study_design_scores_gemma":[0.00001594337,0.0003173935,0.9977228,0.00001582479,0.00001975488,0.0007488442,0.0002864952,0.0004584869,0.0002348727,0.00003211341,0.0001431753,0.000004247243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992514,0.0003687117,0.0000782379,0.00004197877,0.00000403931,0.000004788791,0.00002421645,0.000002237584,0.0002243624],"genre_scores_gemma":[0.9997227,0.0001071188,0.00006854623,0.00002776762,0.00000932078,0.000002746502,0.00002827219,2.64821e-7,0.00003336035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001319037,"threshold_uncertainty_score":0.00329268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.037191826254477,"score_gpt":0.3674901531768942,"score_spread":0.3302983269224172,"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."}}