{"id":"W4328051943","doi":"10.54932/rnkf5751","title":"Longevity, Health and Housing Risks Management in Retirement","year":2023,"lang":"en","type":"report","venue":"","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Social Sciences and Humanities Research Council; Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"HEC Montréal; Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Equity (law); Longevity; Consumption (sociology); Preference; Economics; Longevity risk; Actuarial science; Status quo; Annuity; Marginal utility; Home equity; Pension; Risk aversion (psychology); Health insurance; Status quo bias; Time preference; Business; Health care; Life annuity; Labour economics; Microeconomics; Expected utility hypothesis; Finance; Financial economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00134933,0.0002278436,0.0003206891,0.0001749227,0.0004238298,0.0006074836,0.0004069593,0.0004233814,0.002797841],"category_scores_gemma":[0.001534743,0.0001150154,0.0003451612,0.0002113998,0.0004136322,0.0003041612,0.0002407174,0.0002685901,0.0001828801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003457787,"about_ca_system_score_gemma":0.002712826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3826321,"about_ca_topic_score_gemma":0.5267273,"domain_scores_codex":[0.9997399,0.00008795285,0.000005823813,0.00003074865,0.00003186067,0.0001037053],"domain_scores_gemma":[0.9993817,0.0002971074,0.0001182679,0.00005436497,0.00006121599,0.00008733451],"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":[0.003856467,0.002855671,0.6318189,0.0003023333,0.0002762004,0.0003257583,0.002427583,0.1996499,0.01807962,0.03890066,0.006463395,0.09504351],"study_design_scores_gemma":[0.0003194663,0.001561093,0.7068124,0.00003852864,0.0002405082,0.00007965509,0.002587238,0.2565945,0.004693574,0.01833041,0.008656445,0.00008618347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9972829,0.00008709943,0.0007298291,0.0001063241,0.000001964758,0.00002572416,0.0003521555,0.000007539592,0.001406385],"genre_scores_gemma":[0.9969503,0.00007891851,0.0005171014,0.00002029234,0.000001975434,0.00001111346,0.0002131845,0.0000014903,0.002205495],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3826321,"threshold_uncertainty_score":0.7608098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.199435946726524,"score_gpt":0.3787198160283345,"score_spread":0.1792838693018105,"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."}}