{"id":"W4411203191","doi":"10.1371/journal.pgph.0004612","title":"WHO target product profile for TB detection at peripheral settings: 2024 update","year":2025,"lang":"en","type":"article","venue":"PLOS Global Public Health","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Francisco; Centers for Disease Control and Prevention; National Institute for Research in Tuberculosis; Ministry of Health and Family Welfare; Fundação Oswaldo Cruz; University of Glasgow; FHI 360; McGill University; Johns Hopkins Bloomberg School of Public Health; Universitas Indonesia; Universiteit van Amsterdam; London School of Hygiene and Tropical Medicine; Universität Heidelberg; Bill and Melinda Gates Foundation; Johns Hopkins University; World Health Organization","keywords":"Peripheral; Product (mathematics); Computer science; Medicine; Internal medicine; Mathematics; Geometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04540637,0.00186725,0.001764107,0.005804436,0.0006705482,0.005802917,0.004568898,0.005470766,0.01207952],"category_scores_gemma":[0.07054584,0.001323614,0.002791573,0.004692866,0.001315524,0.005046848,0.003191418,0.00435095,0.01331439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006328095,"about_ca_system_score_gemma":0.02110658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02141887,"about_ca_topic_score_gemma":0.01023289,"domain_scores_codex":[0.9765134,0.008020347,0.002994076,0.0006970704,0.01063711,0.001137923],"domain_scores_gemma":[0.9376149,0.01279801,0.004488419,0.001980112,0.04107815,0.002040374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000343331,0.0002270025,0.004216519,0.005513474,0.00008028965,0.0002612772,0.0005450192,0.00354781,0.001988505,0.01134375,0.4382242,0.5337088],"study_design_scores_gemma":[0.00004853789,0.0002558132,0.002982843,0.00487841,0.0001089599,0.0003970524,0.0002485881,0.001393587,0.001699786,0.003512025,0.9844164,0.00005804064],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01389434,0.1582145,0.1500764,0.316249,0.01899083,0.005434795,0.07452052,0.009349972,0.2532697],"genre_scores_gemma":[0.0991597,0.219428,0.3699825,0.09341745,0.004907482,0.009337839,0.1379476,0.004131395,0.06168798],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04540637,"threshold_uncertainty_score":0.2401347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675020040700096,"score_gpt":0.362999540488059,"score_spread":0.326249340081058,"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."}}