{"id":"W4389484282","doi":"10.5588/pha.23.0044","title":"Lessons for TB from the COVID-19 response: qualitative data from Brazil, India and South Africa","year":2023,"lang":"en","type":"article","venue":"Public Health Action","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"African Union Commission; African Union; African Academy of Sciences; European Commission; Ministério da Ciência, Tecnologia e Inovação; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Department of Science and Technology, Ministry of Science and Technology, India; Medical Research Council; South African Medical Research Council; National Research Foundation","keywords":"Pandemic; Economic growth; Medicine; Public health; Qualitative research; Developing country; Politics; Coronavirus disease 2019 (COVID-19); Environmental health; Political science; Public relations; Nursing; Sociology; Social science; Disease; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01665418,0.0005903646,0.000714934,0.001813756,0.006797027,0.004840598,0.0015201,0.001545227,0.003565569],"category_scores_gemma":[0.03439798,0.0006906761,0.0004321449,0.002322089,0.006625155,0.004469619,0.007055666,0.003407109,0.0003550854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009561811,"about_ca_system_score_gemma":0.01094853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04508425,"about_ca_topic_score_gemma":0.06626221,"domain_scores_codex":[0.9877267,0.008640571,0.0004723532,0.0003583193,0.0007776343,0.002024403],"domain_scores_gemma":[0.9733589,0.02023333,0.002018192,0.0005125125,0.002379683,0.001497467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001102206,0.00001122835,0.002943173,0.0001835285,0.000002278201,0.0003193987,0.9931772,0.00001527811,0.0001826544,0.0006183324,0.0004790831,0.002056807],"study_design_scores_gemma":[0.000001464184,0.00000648339,0.001470315,0.0002593585,0.000001968012,0.00006396509,0.9951388,0.00002066175,0.00006975734,0.0001467041,0.002815107,0.000005512971],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707202,0.001409637,0.001741157,0.01448814,0.0001017543,0.0006166457,0.001050571,0.00001518637,0.009856655],"genre_scores_gemma":[0.9917727,0.001470559,0.0008502997,0.002731015,0.00002556744,0.0008411924,0.0002443732,0.00003131501,0.002032894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04508425,"threshold_uncertainty_score":0.08964366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6392133059233185,"score_gpt":0.5893739908181808,"score_spread":0.04983931510513773,"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."}}