{"id":"W1998281731","doi":"10.2337/diacare.27.1.104","title":"Economic Consequences of Epidemiological Changes in Diabetes in Middle-Income Countries","year":2004,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consejo Nacional de Ciencia y Tecnología; International Development Research Centre","keywords":"Medicine; Social security; Public health; Population; Environmental health; Epidemiology; Health care; Economic cost; Christian ministry; Indirect costs; Gerontology; Economic growth; Business; Economics; Political science; Nursing; Accounting","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007707656,0.0001802433,0.0009035374,0.0003587559,0.00003512728,0.00001784801,0.0002194851,0.0002302439,0.00006136377],"category_scores_gemma":[0.0001382701,0.0001544504,0.00009262647,0.0001710862,0.0002167456,0.0001266501,0.00004740325,0.0001619799,0.0002015841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004409976,"about_ca_system_score_gemma":0.00006708619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275349,"about_ca_topic_score_gemma":0.004992458,"domain_scores_codex":[0.9981057,0.00003852345,0.0009296802,0.0003737813,0.00002861249,0.0005236984],"domain_scores_gemma":[0.9992349,0.00009183471,0.0003394832,0.0002303108,0.00002434975,0.00007913912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002201558,0.00001145928,0.9781162,0.0004483394,0.000009842725,0.000002625866,0.0006903232,0.0002369389,0.000013371,0.02030803,0.000002046924,0.0001586625],"study_design_scores_gemma":[0.0006209297,0.0001662206,0.9786245,0.0005472654,8.942734e-7,3.365036e-7,0.0007606741,0.00004037129,0.001476808,0.01631047,0.001192672,0.0002588329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887525,0.007413078,5.940645e-7,0.001806942,0.0003906983,0.0002869021,0.0004351481,0.00001998581,0.000894197],"genre_scores_gemma":[0.9987996,0.0005871819,0.00008537936,0.0003252751,0.00007179751,0.00007986782,0.00002404675,0.00001464746,0.00001226194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01004709,"threshold_uncertainty_score":0.6298304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03849860376831273,"score_gpt":0.2543502785716792,"score_spread":0.2158516748033665,"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."}}