{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001406353,0.0003078856,0.000596557,0.0001318412,0.001729244,0.00003764334,0.0002742396,0.00009755667,0.001135152],"category_scores_gemma":[0.001887599,0.0002416369,0.0001780716,0.0005577701,0.0001652034,0.0001841871,0.00005893749,0.001770848,0.0002785349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008480033,"about_ca_system_score_gemma":0.00098205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001760014,"about_ca_topic_score_gemma":0.003508989,"domain_scores_codex":[0.9948847,0.00181051,0.0009783123,0.0003312471,0.0007717336,0.001223543],"domain_scores_gemma":[0.9967338,0.0006308329,0.001135343,0.0003699888,0.0003372021,0.0007928603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004411959,0.00004903452,0.9865111,0.0000306503,0.00005937601,0.00002458747,0.003086547,0.0000167124,0.00001648331,0.0001088955,0.008154744,0.001897767],"study_design_scores_gemma":[0.0006443879,0.0003053339,0.9547405,0.0000625099,0.00005083011,0.000009450099,0.009891649,0.000003246473,0.00003389881,0.00007250884,0.03393564,0.0002500664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832708,0.00005445168,0.0003143815,0.0002100433,0.004884372,0.0005368161,0.00001841441,0.0001180959,0.01059267],"genre_scores_gemma":[0.9965484,0.00006185871,0.0006777856,0.001177563,0.00134977,0.000008826271,0.000009537766,0.00003995419,0.0001263769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0317706,"threshold_uncertainty_score":0.999778,"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."}}