{"id":"W2107614420","doi":"10.1164/rccm.200608-1099oc","title":"Comparison of Two Interferon-γ Assays and Tuberculin Skin Test for Tracing Tuberculosis Contacts","year":2006,"lang":"en","type":"article","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":257,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Medicine; Tuberculin; Contact tracing; Tuberculosis; Mycobacterium tuberculosis; Interferon γ; Interferon gamma; Immunology; Skin test; Cutoff; Internal medicine; Pathology; Disease; Coronavirus disease 2019 (COVID-19); Cytokine; Infectious disease (medical specialty)","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":[],"consensus_categories":[],"category_scores_codex":[0.001130623,0.000205655,0.001388853,0.0002732302,0.00008667746,0.000009751074,0.00008946029,0.00007664118,0.00003241902],"category_scores_gemma":[0.004617844,0.0001445624,0.0001389065,0.0001948786,0.001668089,0.00009797084,0.00003265217,0.0004831458,5.013725e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006258291,"about_ca_system_score_gemma":0.0001032852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002256316,"about_ca_topic_score_gemma":0.00006133048,"domain_scores_codex":[0.9977047,0.0002549982,0.001045914,0.0002413484,0.0003664402,0.0003865517],"domain_scores_gemma":[0.9946831,0.003628779,0.0002536941,0.0001551437,0.0007883548,0.0004909569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002322657,0.0004678699,0.7781293,0.001138784,0.0002032085,0.000154181,0.001586811,0.00001106955,0.05069821,0.002102507,0.004129984,0.1590554],"study_design_scores_gemma":[0.02593386,0.2079164,0.6175487,0.005393047,0.003530888,0.002845747,0.05976605,0.001153309,0.05050277,0.001986559,0.02234641,0.001076255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779712,0.01282152,0.001517027,0.00678864,0.00009110318,0.0002045876,0.00001883664,0.000008860921,0.0005782355],"genre_scores_gemma":[0.996448,0.0001017418,0.001041734,0.001696662,0.0006731221,0.000007617683,0.000005824628,0.00002016631,0.00000510765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2074485,"threshold_uncertainty_score":0.6146142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03823419847027033,"score_gpt":0.4021372859452839,"score_spread":0.3639030874750136,"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."}}