{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001169769,0.0002878805,0.00111761,0.0003607371,0.000129922,0.00002755886,0.0000869359,0.0001246904,0.00008324702],"category_scores_gemma":[0.01029146,0.0002022907,0.0001279087,0.0003575204,0.001880521,0.0001740968,0.00008263693,0.0007361625,0.000004286501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002021469,"about_ca_system_score_gemma":0.0001699934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005590114,"about_ca_topic_score_gemma":0.00003632823,"domain_scores_codex":[0.9969081,0.000911601,0.0007515516,0.0003931867,0.0005941775,0.0004413555],"domain_scores_gemma":[0.9952364,0.001785182,0.0002158588,0.0002586393,0.001144186,0.001359758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01153866,0.0001642718,0.5050106,0.0001959869,0.0004931352,0.0009631526,0.002646586,0.000001178027,0.02807848,0.000168124,0.003608746,0.4471311],"study_design_scores_gemma":[0.004226743,0.02562441,0.9024174,0.0008014621,0.0007588315,0.001291339,0.006043084,0.00001246773,0.003197577,0.000474901,0.05479927,0.0003525389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779134,0.01324827,0.000170256,0.007842707,0.0003205189,0.0001434736,0.00004494676,0.00002724229,0.0002892336],"genre_scores_gemma":[0.9932758,0.001986887,0.0005456594,0.002677417,0.001458761,0.000009579129,0.00001132117,0.00002950146,0.000005139853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4467786,"threshold_uncertainty_score":0.9980453,"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."}}