{"id":"W1491569792","doi":"10.1002/hec.2865","title":"A HEALTH PRODUCTION MODEL WITH ENDOGENOUS RETIREMENT","year":2012,"lang":"en","type":"article","venue":"Health Economics","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Institute on Aging","keywords":"Stylized fact; Human capital; Investment (military); Economics; Consumption (sociology); Overlapping generations model; Production (economics); Retirement age; Population; Capital (architecture); Population health; Labour economics; Demographic economics; Health care; Medicine; Microeconomics; Finance; Economic growth; Environmental health; Political science; Sociology; Macroeconomics","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":[0.001266016,0.0008833606,0.001190941,0.0007928341,0.000596345,0.00237387,0.002036627,0.00363843,0.01718885],"category_scores_gemma":[0.003064885,0.0006525727,0.0009322491,0.001146509,0.001227697,0.0013818,0.00157808,0.001550542,0.001915379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002204314,"about_ca_system_score_gemma":0.002459489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02003448,"about_ca_topic_score_gemma":0.01071553,"domain_scores_codex":[0.9993575,0.0002285648,0.00002965492,0.0001585903,0.00006334195,0.000162228],"domain_scores_gemma":[0.9986369,0.0006722799,0.0002556276,0.00006527271,0.0001459344,0.0002239494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002887824,0.0002185615,0.004100946,0.0002086797,0.0001080413,0.0009838569,0.0005391946,0.6510344,0.0008630583,0.3236157,0.007438449,0.01060036],"study_design_scores_gemma":[0.0005259475,0.0002455145,0.002818811,0.00009972552,0.0001337104,0.0002317552,0.0003079967,0.816765,0.0002239303,0.1640888,0.01448432,0.00007454737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2974862,0.005190806,0.5126286,0.02942958,0.0007226407,0.0005700045,0.01741011,0.0009846236,0.1355775],"genre_scores_gemma":[0.8867587,0.001963789,0.02046749,0.0007467971,0.0002419072,0.0004407049,0.001547279,0.00003902454,0.08779436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02003448,"threshold_uncertainty_score":0.05750245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4444449390772309,"score_gpt":0.4363242413507326,"score_spread":0.008120697726498316,"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."}}