{"id":"W2953675564","doi":"10.1136/bmjopen-2019-030683","title":"Trends in inequality in life expectancy at birth between 2004 and 2017 and projections for 2030 in Korea: multiyear cross-sectional differences by income from national health insurance data","year":2019,"lang":"en","type":"article","venue":"BMJ Open","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Services and Policy Research","funders":"Seoul National University Hospital; Korea Health Industry Development Institute; National Health Insurance Service; Seoul National University","keywords":"Medicine; Life expectancy; Cross-sectional study; Inequality; Public health; Environmental health; Gerontology; Demographic economics; Demography; Population; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001350875,0.0002969537,0.0001891183,0.0009814252,0.0001629614,0.0004802902,0.0003380877,0.0002062722,0.001128839],"category_scores_gemma":[0.001808073,0.0001750422,0.000772005,0.001272522,0.0001058083,0.0008485666,0.0007038534,0.0005311782,0.0002425293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006783615,"about_ca_system_score_gemma":0.0005880887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02124294,"about_ca_topic_score_gemma":0.02051318,"domain_scores_codex":[0.999652,0.00007030485,0.00006536199,0.00008001479,0.00004882369,0.0000835195],"domain_scores_gemma":[0.9990395,0.00009059665,0.0004581542,0.00005670032,0.0002265885,0.0001283849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009789211,0.00001971364,0.9933959,0.00003745622,0.000120159,0.00004509098,0.000114106,0.0005774866,0.0001159343,0.0001056119,0.001029906,0.004340768],"study_design_scores_gemma":[0.00000281879,0.00002910539,0.9978009,0.00002181288,0.00003968371,0.00004642214,0.0002583853,0.001196586,0.000053374,0.00004926134,0.000495114,0.000006603238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843052,0.0005737243,0.0006172949,0.0003354681,0.000020527,0.00002335289,0.01346384,0.00002163015,0.0006389197],"genre_scores_gemma":[0.9871529,0.0002570939,0.0003108796,0.00004789847,0.000008060206,0.0000352889,0.01201761,0.000004206306,0.0001662028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02124294,"threshold_uncertainty_score":0.04223859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.311163617369578,"score_gpt":0.4452180594507398,"score_spread":0.1340544420811618,"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."}}