{"id":"W3045373257","doi":"10.1172/jci140461","title":"Diagnostic accuracy of 3 urine lipoarabinomannan tuberculosis assays in HIV-negative outpatients","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institutes of Health; Global Health Innovative Technology Fund; Department of Foreign Affairs and Trade, Australian Government; National Institute of Allergy and Infectious Diseases; Bill and Melinda Gates Foundation; McMaster University; Department for International Development; Ministerie van Buitenlandse Zaken; Bundesministerium für Bildung und Forschung","keywords":"Lipoarabinomannan; Medicine; Point-of-care testing; Tuberculosis; Tuberculosis diagnosis; Human immunodeficiency virus (HIV); Urine; Mycobacterium tuberculosis; Internal medicine; Immunology; Virology; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002392028,0.000140734,0.001042521,0.0001862899,0.00002111009,0.000007730064,0.000174511,0.0002027568,0.00008584524],"category_scores_gemma":[0.1989736,0.0001067927,0.0003302293,0.0004226175,0.000308304,0.0002795727,0.00006482667,0.0009770551,0.00003947979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005537445,"about_ca_system_score_gemma":0.0003593784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005983379,"about_ca_topic_score_gemma":0.00001273986,"domain_scores_codex":[0.9954705,0.0008475121,0.002717495,0.0002135283,0.0005076404,0.0002433432],"domain_scores_gemma":[0.9869716,0.009711395,0.001559625,0.0001949101,0.0006767735,0.000885745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007625358,0.0003329489,0.9835963,0.0001361414,0.0001408776,0.00009036035,0.0003952784,0.0001654075,0.0009174824,0.000117033,0.008670959,0.00467467],"study_design_scores_gemma":[0.003693134,0.003083103,0.9844177,0.0004828463,0.0001120778,0.00002431512,0.0001059299,0.002799398,0.002556864,0.002041415,0.0005922179,0.00009103226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437831,0.0001701442,0.0001174003,0.05516814,0.0001729167,0.0002817088,0.000008465118,0.000007462592,0.0002906921],"genre_scores_gemma":[0.9911757,0.0006352081,0.002796138,0.004729128,0.0006133753,0.000005463331,0.00001504423,0.00001429052,0.00001569146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1965816,"threshold_uncertainty_score":0.8077738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1322616264559611,"score_gpt":0.4198712071777803,"score_spread":0.2876095807218192,"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."}}