{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002226567,0.0001233479,0.0002494964,0.00004085984,0.0008591993,0.00003582895,0.0001225774,0.00004288887,0.00003971809],"category_scores_gemma":[0.00002793209,0.0001190258,0.0000395693,0.00007859749,0.0001479017,0.0002779959,0.00002452829,0.00009622345,0.00004640035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002089641,"about_ca_system_score_gemma":0.001408122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007217224,"about_ca_topic_score_gemma":0.01315678,"domain_scores_codex":[0.9981159,0.0001736319,0.000392144,0.000289861,0.0001574875,0.000870984],"domain_scores_gemma":[0.9988627,0.00001719176,0.0002570848,0.0002982687,0.00003564755,0.0005290519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002721476,0.002603766,0.3312334,0.001163456,0.0001108519,3.633762e-7,0.3179979,0.007040661,0.000009874339,0.1826217,0.0254225,0.1315233],"study_design_scores_gemma":[0.003568771,0.003348152,0.03915585,0.0004126011,0.00007274668,0.00002843627,0.06376146,0.005473384,0.0002861594,0.01386969,0.8673377,0.002685028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8828961,0.001306122,0.000401442,0.08994338,0.001507293,0.002686023,0.00001931806,0.0001828746,0.02105743],"genre_scores_gemma":[0.9910646,0.003165395,0.001530558,0.002868669,0.0006418428,0.00009655742,0.00001216371,0.00002103776,0.0005991607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8419152,"threshold_uncertainty_score":0.9993938,"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."}}