{"id":"W4388006726","doi":"10.1016/j.lansea.2023.100301","title":"Ending TB in South-East Asia: flagship priority and response transformation","year":2023,"lang":"en","type":"review","venue":"The Lancet Regional Health - Southeast Asia","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council; World Health Organization","keywords":"Psychological intervention; Leverage (statistics); Tuberculosis; Economic growth; Business; Pandemic; South asia; Global health; Development economics; East Asia; Health care; Political science; Medicine; Coronavirus disease 2019 (COVID-19); Economics; Disease; China; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00931027,0.0004917675,0.003105327,0.0005550124,0.0002961338,0.00003249362,0.0003542079,0.0004684155,0.00002029018],"category_scores_gemma":[0.00090149,0.0003108131,0.0003717917,0.0008075036,0.0002827054,0.00007792824,0.00009148181,0.002111753,0.0002962127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005121484,"about_ca_system_score_gemma":0.001726466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001848362,"about_ca_topic_score_gemma":0.0001917516,"domain_scores_codex":[0.992739,0.003496945,0.001269778,0.0006038276,0.0005903482,0.001300121],"domain_scores_gemma":[0.9969373,0.001371187,0.0004390567,0.0006627255,0.00006109625,0.0005286465],"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":[0.008011576,0.0001983564,0.00179794,0.09663092,0.0006014716,0.0002260929,0.01842271,0.00000339977,0.000001145405,0.01775499,0.01327428,0.8430771],"study_design_scores_gemma":[0.001598813,0.000342597,0.01270183,0.02223697,0.0001722288,0.0009585303,0.003265675,0.0001142234,3.531898e-8,0.0005867747,0.9576826,0.000339701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007464552,0.9260105,0.00002503369,0.06910171,0.0001518887,0.002693816,0.0002870482,0.0001592068,0.0008243086],"genre_scores_gemma":[0.004169684,0.9925611,0.00009371175,0.0007945414,0.001290383,0.000314916,0.0003811959,0.00009150311,0.0003029743],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9444084,"threshold_uncertainty_score":0.9999344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.267210316766271,"score_gpt":0.4601670492966084,"score_spread":0.1929567325303374,"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."}}