{"id":"W2120439446","doi":"10.1002/hec.3209","title":"Population Aging and Healthcare Expenditure in Korea","year":2015,"lang":"en","type":"article","venue":"Health Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health Insurance Service","keywords":"Population ageing; Population; Health care; Quarter (Canadian coin); National health insurance; Gross domestic product; Demography; Demographic economics; Gerontology; Economics; Medicine; Geography; Environmental health; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000395821,0.0001587474,0.0001528461,0.0008454396,0.0001538349,0.0006276285,0.0001308539,0.0002081443,0.002492364],"category_scores_gemma":[0.001478405,0.000109131,0.0003908294,0.001335778,0.0001853526,0.0004906111,0.0005967731,0.0003680338,0.0001317452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008490377,"about_ca_system_score_gemma":0.0007720072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01853968,"about_ca_topic_score_gemma":0.0239318,"domain_scores_codex":[0.9997726,0.00006411731,0.00003030961,0.00002280425,0.00002441371,0.00008579755],"domain_scores_gemma":[0.9989884,0.0001518134,0.0005477913,0.0000292603,0.00009586172,0.0001867908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004371194,0.00006349783,0.9887345,0.00005067884,0.00008066121,0.0003565002,0.0002243268,0.001012113,0.00007576654,0.001308724,0.001033918,0.007015605],"study_design_scores_gemma":[0.000004824249,0.00003000913,0.9954939,0.00004559528,0.00004611682,0.0001722715,0.001073994,0.000975077,0.00003626758,0.0002930814,0.001822917,0.000005890867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944059,0.001235838,0.00008762102,0.00118029,0.00001557821,0.0000108415,0.0004536959,0.000003517837,0.002606894],"genre_scores_gemma":[0.9986222,0.0005663085,0.00003697422,0.0001069846,0.000009993207,0.000003475386,0.0002476818,0.000001143916,0.0004052203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01853968,"threshold_uncertainty_score":0.03686351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1303505417732599,"score_gpt":0.4623863003397273,"score_spread":0.3320357585664674,"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."}}