{"id":"W1604546044","doi":"","title":"Social Security and the Rise in Health Spending: A Macroeconomic Analysis","year":2011,"lang":"en","type":"preprint","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Global Health Care Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Social security; Economics; Marginal propensity to consume; Health and Retirement Study; Health care; Social determinants of health; Public economics; Social capital; Overlapping generations model; Social insurance; Demographic economics; Labour economics; Economic growth; Monetary economics; Political science","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","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003844264,0.0006422023,0.002320815,0.001013459,0.001980401,0.00001864145,0.001936334,0.0006616707,0.0009291837],"category_scores_gemma":[0.00022976,0.0006607942,0.0008635464,0.0005821405,0.002130435,0.0001363328,0.005162366,0.004173991,0.00008273422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283139,"about_ca_system_score_gemma":0.001527139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1643101,"about_ca_topic_score_gemma":0.1644267,"domain_scores_codex":[0.9903127,0.005365881,0.00128414,0.001247789,0.0005266705,0.001262842],"domain_scores_gemma":[0.9947991,0.001286906,0.001871852,0.001333211,0.0002134093,0.0004954876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.006117736,0.000497328,0.117134,0.005012284,0.002657927,0.0001729922,0.82504,0.00008502834,0.000003219066,0.03057904,0.01035332,0.002347114],"study_design_scores_gemma":[0.01357392,0.0003377946,0.5543181,0.002716504,0.001930355,0.00001539233,0.2629267,0.01670942,0.00000120813,0.07127624,0.07441185,0.001782501],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246256,0.004659673,0.00008923397,0.009680162,0.0004322873,0.003486713,0.001893439,0.0001519944,0.05498093],"genre_scores_gemma":[0.9893249,0.006802706,0.001305862,0.0003849873,0.0001406426,0.00001024962,0.0002654672,0.00005501646,0.001710138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5621133,"threshold_uncertainty_score":0.9999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05109563847176152,"score_gpt":0.3517937935710332,"score_spread":0.3006981550992717,"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."}}