{"id":"W4323530314","doi":"10.2139/ssrn.4377349","title":"Evaluation of Participating Endowment Life Insurance Policies in a Stochastic Environment","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Endowment policy; Endowment; Life insurance; Actuarial science; Business; Economics; Public economics; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.01821107,0.0001260631,0.0002085052,0.0003471888,0.0003276797,0.00003903486,0.0002761948,0.0000527839,0.00005312735],"category_scores_gemma":[0.0005638954,0.0001277548,0.0001028996,0.0006960541,0.0001677962,0.0001834475,0.00005088296,0.0005584655,0.00003708341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443125,"about_ca_system_score_gemma":0.001599953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002733198,"about_ca_topic_score_gemma":0.0141891,"domain_scores_codex":[0.9946931,0.000825542,0.0005206682,0.0001979251,0.00186932,0.001893473],"domain_scores_gemma":[0.9992352,0.00009156577,0.0003096553,0.0001587731,0.0001148154,0.00009003568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007565906,0.0005570775,0.3376713,0.00002890736,0.0005873819,0.000005630231,0.0378249,0.2137084,0.0002854211,0.2537638,0.00009591353,0.1553956],"study_design_scores_gemma":[0.001903897,0.0002407395,0.6198342,0.00008896779,0.0001830321,0.000003169943,0.04361769,0.004993019,0.00003261077,0.3283967,0.0003686131,0.0003373359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947557,0.001377022,0.000818981,0.0008157318,0.0001966855,0.0005188322,0.000003353963,0.00003338781,0.001480256],"genre_scores_gemma":[0.9964698,0.003080629,0.0000184726,0.00003843429,0.0001579972,0.0001304279,0.000001703617,0.00001329774,0.00008921301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2821629,"threshold_uncertainty_score":0.7917848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04871765293219604,"score_gpt":0.3431206500371309,"score_spread":0.2944029971049348,"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."}}