{"id":"W1835427949","doi":"10.1164/rccm.201501-0059oc","title":"Mycobacteria-Specific Cytokine Responses Detect Tuberculosis Infection and Distinguish Latent from Active Tuberculosis","year":2015,"lang":"en","type":"article","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Paediatric Society","funders":"National Health and Medical Research Council; Department of Health, State Government of Victoria; University of Melbourne; European Society for Paediatric Infectious Diseases; National Institute for Health and Care Research; Murdoch Children's Research Institute; Medical Research Council; Myer Foundation; Children’s Hospital of Wisconsin Research Institute; Wellcome Trust","keywords":"Medicine; Tuberculosis; Tuberculin; Immunology; Latent tuberculosis; Cytokine; Multiplex; QuantiFERON; Tuberculosis diagnosis; Antigen; Mycobacterium tuberculosis; Tumor necrosis factor alpha; Pathology; Biology","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":[0.0007911492,0.0005945085,0.0003330028,0.00053561,0.00009720889,0.0004637878,0.0002675991,0.0005857353,0.001509023],"category_scores_gemma":[0.001965879,0.0001419681,0.0001214206,0.0003040481,0.0004793303,0.0003360618,0.0002151395,0.0003765079,0.0005754037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001358385,"about_ca_system_score_gemma":0.0002452072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002461063,"about_ca_topic_score_gemma":0.0002703214,"domain_scores_codex":[0.9996038,0.0001281743,0.00006169259,0.00007603916,0.00008119748,0.00004907992],"domain_scores_gemma":[0.9987046,0.0005466194,0.0004912332,0.00003911195,0.0001139706,0.0001045292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001376931,0.0003436285,0.8715735,0.0007963114,0.00003512311,0.0005176731,0.0001920462,0.0003984704,0.08442713,0.0001459496,0.0005169977,0.03967624],"study_design_scores_gemma":[0.00009087348,0.002922178,0.9462822,0.0003904681,0.00008899091,0.005569028,0.0004795702,0.001818724,0.03882893,0.0003837478,0.00312204,0.00002337138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871301,0.007246893,0.002881299,0.0002936886,0.00003802423,0.0001322163,0.0007010358,0.00005757328,0.001519083],"genre_scores_gemma":[0.9950621,0.001216019,0.002790846,0.0002046442,0.00004639588,0.0000720227,0.0003044587,0.000004716934,0.0002989555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001509023,"threshold_uncertainty_score":0.005048156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04924982149455479,"score_gpt":0.3520698320274324,"score_spread":0.3028200105328777,"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."}}