{"id":"W2042321250","doi":"10.1080/10920277.2003.10596083","title":"Factors Affecting Retirement Mortality","year":2003,"lang":"en","type":"article","venue":"North American Actuarial Journal","topic":"Global Health Care Issues","field":"Health Professions","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Actuarial science; Social security; Annuity; Underwriting; Marital status; Population; Economics; Ethnic group; Health and Retirement Study; Life annuity; Business; Pension; Gerontology; Finance; Political science; Medicine; Sociology; Demography","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":[0.000942093,0.000176635,0.000241581,0.00167082,0.0002008335,0.0006500813,0.000212341,0.0003086925,0.00711355],"category_scores_gemma":[0.004337305,0.00005256649,0.0006967305,0.001753174,0.0001146794,0.0003804394,0.0003971961,0.0003789394,0.001012794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003395513,"about_ca_system_score_gemma":0.0003063275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002637951,"about_ca_topic_score_gemma":0.003490514,"domain_scores_codex":[0.999544,0.0001132892,0.00008589465,0.00007610345,0.0001297217,0.00005099399],"domain_scores_gemma":[0.9980924,0.0005089163,0.0008708475,0.00005716887,0.0003348868,0.0001358476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002676493,0.00006416164,0.8359068,0.002596959,0.0004513748,0.00031321,0.0004764172,0.0004306346,0.0003801,0.0009229765,0.01495051,0.1432393],"study_design_scores_gemma":[0.000003934508,0.0001064965,0.9831603,0.0007042019,0.0001799994,0.0002549749,0.0003037191,0.0001601012,0.0001439341,0.0002863071,0.01468566,0.00001051951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5940399,0.3474782,0.001359808,0.006888243,0.001307493,0.0001360256,0.02322836,0.00009823687,0.0254637],"genre_scores_gemma":[0.9361349,0.05173346,0.0005464315,0.0005429462,0.00066442,0.00003580652,0.005817365,0.00001034708,0.004514262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00711355,"threshold_uncertainty_score":0.02379715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330911917140072,"score_gpt":0.4647506280152667,"score_spread":0.3316594363012595,"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."}}