{"id":"W4328021725","doi":"10.2139/ssrn.4393378","title":"Longevity, Health and Housing Risks Management in Retirement","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Longevity; Business; Health and Retirement Study; Actuarial science; Longevity risk; Gerontology; Medicine","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":[0.0006731013,0.0001360956,0.0002173597,0.0005072755,0.0004849186,0.0007940824,0.0001804131,0.0005804628,0.002482787],"category_scores_gemma":[0.002036793,0.0001041059,0.0003376905,0.0004855706,0.0002325983,0.000495348,0.0004934518,0.0005209208,0.0002130238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004673049,"about_ca_system_score_gemma":0.0006431598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01118927,"about_ca_topic_score_gemma":0.0249178,"domain_scores_codex":[0.9998329,0.00006883208,0.00001779852,0.00002009602,0.00001629696,0.00004406257],"domain_scores_gemma":[0.9995043,0.0000993157,0.0001387367,0.00002124948,0.00006246511,0.0001739289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003866482,0.000400062,0.9803901,0.00005669496,0.000111207,0.0001493396,0.0008937835,0.0002213557,0.0001371483,0.0003995989,0.000432176,0.01642189],"study_design_scores_gemma":[0.000004315334,0.0001704496,0.9979627,0.00001921041,0.00003948533,0.00005308161,0.0008543535,0.0001626224,0.00001876343,0.0003280861,0.0003829745,0.000003972489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948689,0.002593668,0.00005536898,0.00054587,0.00002707677,0.000004126971,0.0001751967,0.000001914465,0.001727948],"genre_scores_gemma":[0.9987972,0.0004684878,0.00003723205,0.00003923906,0.00002176912,0.000002237232,0.00005879357,5.358266e-7,0.0005745515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01118927,"threshold_uncertainty_score":0.02224833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04541923219295717,"score_gpt":0.3618667699625352,"score_spread":0.316447537769578,"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."}}