{"id":"W2099260492","doi":"10.1590/s1020-49892009000700009","title":"Cost-of-illness study of type 2 diabetes mellitus in Colombia","year":2009,"lang":"ca","type":"article","venue":"Revista Panamericana de Salud Pública","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Brock University","funders":"Universidad Carlos III de Madrid","keywords":"Medicine; Indirect costs; Health care; Population; Type 2 Diabetes Mellitus; Cost database; Total cost; Environmental health; Health economics; Public health; Demography; Gerontology; Diabetes mellitus; Business; Economic growth; Economics; Nursing; Accounting","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":[0.001805885,0.0006104448,0.003230941,0.0006782056,0.00008947404,0.00005900659,0.0006340877,0.0002646271,0.0002676612],"category_scores_gemma":[0.001172521,0.0006126739,0.0006010415,0.003426746,0.0004252385,0.0001169034,0.0001097868,0.000649377,0.00004041973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004184055,"about_ca_system_score_gemma":0.0007529239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01894677,"about_ca_topic_score_gemma":0.0006129218,"domain_scores_codex":[0.9941841,0.001045761,0.001631096,0.0008683321,0.001092804,0.001177952],"domain_scores_gemma":[0.9959802,0.0003300013,0.0008166493,0.001846969,0.0005067055,0.0005194706],"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":[0.0004006248,0.004013881,0.05909945,0.001028014,0.001515136,0.000145001,0.003889394,0.0001257147,0.0005432164,0.0001491439,0.002411902,0.9266785],"study_design_scores_gemma":[0.006940656,0.01158832,0.8220855,0.002093611,0.003209236,0.000009357476,0.009437068,0.0008221355,0.001225026,0.00005634939,0.1412868,0.00124596],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406165,0.0539827,0.00003682017,0.0003749778,0.0002525813,0.003242193,0.00007029049,0.00005944859,0.001364427],"genre_scores_gemma":[0.9933893,0.005378486,0.0002251531,0.0003548898,0.0002744071,0.00007518233,0.00005497524,0.00008485934,0.0001627324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9254326,"threshold_uncertainty_score":0.9996325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177454580850281,"score_gpt":0.2960171328553665,"score_spread":0.2742425870468637,"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."}}