{"id":"W2581056864","doi":"10.1016/j.ijid.2017.01.018","title":"The global dynamics of diabetes and tuberculosis: the impact of migration and policy implications","year":2017,"lang":"en","type":"review","venue":"International Journal of Infectious Diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Ministero della Salute; National Institute for Health and Care Research","keywords":"Tuberculosis; Medicine; Diabetes mellitus; Pandemic; Ethnic group; Convergence (economics); Environmental health; Public health; Population; Demography; Coronavirus disease 2019 (COVID-19); Disease; Internal medicine; Economic growth; Economics; Political science; Endocrinology; Pathology","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":[0.0003977539,0.000168677,0.0007946591,0.0002057933,0.0001224449,0.00006271781,0.0003219117,0.00009555799,0.00000519169],"category_scores_gemma":[0.003962145,0.00007806642,0.0006307578,0.0001065606,0.00046152,0.0001016077,0.0001094652,0.0002240574,5.492417e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003782874,"about_ca_system_score_gemma":0.0008379128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000564497,"about_ca_topic_score_gemma":0.0002030417,"domain_scores_codex":[0.9985358,0.0002109741,0.0007286961,0.0001089506,0.0002645749,0.0001510413],"domain_scores_gemma":[0.996564,0.0009667046,0.001259971,0.0002461162,0.0008048925,0.0001582631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003785605,0.0001371716,0.3605181,0.0005186856,0.00308005,0.000002485475,0.00001438031,0.000005603918,0.000001265569,0.001874122,0.0006150398,0.6331952],"study_design_scores_gemma":[0.0008540574,0.0009963812,0.9422552,0.005173875,0.002277629,0.001371866,0.00003579025,0.0002297105,7.671164e-7,0.009766964,0.03687787,0.0001599096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0363554,0.9586303,0.00001299799,0.003769439,0.0001136227,0.0002726116,0.0006090236,0.000004055414,0.000232593],"genre_scores_gemma":[0.2206585,0.778948,0.000004165935,0.00002918257,0.0002963259,0.00001339075,0.0000361647,0.0000079444,0.000006273507],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6330353,"threshold_uncertainty_score":0.4743343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0338513651154283,"score_gpt":0.4432935816947764,"score_spread":0.4094422165793481,"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."}}