{"id":"W4408022963","doi":"10.2139/ssrn.5158101","title":"Hedging universal life insurance policies","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Université Laval","funders":"","keywords":"Life insurance; Actuarial science; Business; Economics","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004915268,0.0004333137,0.0005723805,0.0007293246,0.001540177,0.0004382209,0.001765508,0.0004044397,0.00004750927],"category_scores_gemma":[0.0002770348,0.0004710026,0.0005545234,0.000737574,0.000483999,0.0003021398,0.0005911575,0.005719479,0.00002889425],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003033224,"about_ca_system_score_gemma":0.01379145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01118966,"about_ca_topic_score_gemma":0.02990221,"domain_scores_codex":[0.9930383,0.0007170072,0.0006114609,0.0005685064,0.001078642,0.003986089],"domain_scores_gemma":[0.998194,0.0001001761,0.0006127409,0.0005151948,0.0003337843,0.0002441028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005128652,0.0001175575,0.07775011,0.00009024299,0.001015644,0.00001614148,0.00567169,0.001219899,0.000002230255,0.8929402,0.001180417,0.01994457],"study_design_scores_gemma":[0.0009870202,0.00009990138,0.03833244,0.0004733897,0.000306237,0.00001385054,0.03786943,0.00007108621,0.000005516584,0.8100216,0.1106266,0.0011929],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6922466,0.03076165,0.01276578,0.01615932,0.00944159,0.001756949,0.0001234198,0.0007018382,0.2360429],"genre_scores_gemma":[0.9289551,0.05942991,0.0001314149,0.0004948827,0.001589226,0.00001706041,0.000008750753,0.00002996198,0.009343726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2367085,"threshold_uncertainty_score":0.9997742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443820914347536,"score_gpt":0.3002082844990131,"score_spread":0.2857700753555377,"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."}}