{"id":"W3121952259","doi":"","title":"Health, Pensions, and the Retirement Decision: Evidence from Canada","year":2007,"lang":"en","type":"preprint","venue":"Project Muse (Johns Hopkins University)","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Incentive; Health and Retirement Study; Demographic economics; Identification (biology); Value (mathematics); Actuarial science; Longitudinal data; Economics; Survey data collection; Business; Medicine; Gerontology; Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002389568,0.0003694231,0.0005995129,0.001128201,0.001423015,0.000189888,0.001148903,0.0002597256,0.0001098521],"category_scores_gemma":[0.0007706343,0.0003119182,0.0001843044,0.002216371,0.0008584602,0.0001938427,0.001466737,0.0006751328,0.000006030965],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003114966,"about_ca_system_score_gemma":0.008224781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993415,"about_ca_topic_score_gemma":0.9990565,"domain_scores_codex":[0.9953165,0.001192181,0.0004554911,0.0009694044,0.001387931,0.0006785127],"domain_scores_gemma":[0.9965333,0.001526035,0.0004074066,0.0009439508,0.000256966,0.0003323261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00410664,0.0008019531,0.0978795,0.000843961,0.00103778,0.0006160102,0.332331,0.0001954566,9.453477e-7,0.02016833,0.04169125,0.5003272],"study_design_scores_gemma":[0.0008589863,0.00004293283,0.003251488,0.0007688759,0.0001163806,5.122089e-7,0.009940684,0.00003915718,0.000005879163,0.00007279497,0.9845217,0.0003806413],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.651867,0.0005571694,0.001001971,0.04324654,0.004956376,0.008320422,0.000229752,0.0003281921,0.2894925],"genre_scores_gemma":[0.5313897,0.4666579,0.0007072222,0.0008315133,0.0003062521,0.000008002566,0.00002501313,0.00002018679,0.00005424336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9428304,"threshold_uncertainty_score":0.9999333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529853604471849,"score_gpt":0.3635789830492591,"score_spread":0.2105936226020742,"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."}}