{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004414408,0.0004681841,0.001331774,0.002483682,0.004190239,0.002979954,0.001969621,0.001394219,0.007888976],"category_scores_gemma":[0.01949097,0.0004874557,0.001271876,0.009273378,0.00175771,0.0007499852,0.001596265,0.001826538,0.0004463405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03071965,"about_ca_system_score_gemma":0.06771462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970342,"about_ca_topic_score_gemma":0.9986682,"domain_scores_codex":[0.997108,0.0005096776,0.0002253593,0.0002205318,0.001144605,0.0007918678],"domain_scores_gemma":[0.9819542,0.005258002,0.00260137,0.0007618788,0.007397906,0.002026567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001816903,0.000311279,0.9227501,0.0008575994,0.001374245,0.0004028634,0.003242841,0.0008294918,0.00006888888,0.004178577,0.02487898,0.03928825],"study_design_scores_gemma":[0.0004688285,0.00008022806,0.9710394,0.001239217,0.001448526,0.00009052616,0.004654303,0.0005987307,0.0001086342,0.0008741086,0.01931491,0.00008268972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805441,0.05236113,0.0002422465,0.01321262,0.0002642079,0.0001810279,0.02519429,0.0000121472,0.02798832],"genre_scores_gemma":[0.9621972,0.02365111,0.0002772749,0.001627687,0.00009964263,0.00005034371,0.006675058,0.00001617303,0.005405534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03071965,"threshold_uncertainty_score":0.2228877,"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."}}