{"id":"W1632830938","doi":"10.1111/j.1539-6975.2013.12015.x","title":"Pricing Standardized Mortality Securitizations: A Two‐Population Model With Transitory Jump Effects","year":2013,"lang":"en","type":"article","venue":"Journal of Risk & Insurance","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"","keywords":"Jump; Population; Economics; Econometrics; Mortality rate; Population model; Actuarial science; 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":[0.001637997,0.001091637,0.001678453,0.0009756334,0.0006299573,0.002410193,0.002825942,0.004100375,0.008773484],"category_scores_gemma":[0.005069728,0.0006658756,0.001696649,0.001000033,0.001800488,0.002426097,0.001545004,0.002712749,0.0008074913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445171,"about_ca_system_score_gemma":0.001199664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01466206,"about_ca_topic_score_gemma":0.00544193,"domain_scores_codex":[0.9994629,0.000201496,0.00002474544,0.0001109121,0.0000679574,0.0001320041],"domain_scores_gemma":[0.9977133,0.001216384,0.0003760381,0.00009019924,0.0002700655,0.0003339036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001897671,0.0002386699,0.005688434,0.00009501573,0.0001744418,0.0008679804,0.0003624134,0.689397,0.001429208,0.2899889,0.004592948,0.00697523],"study_design_scores_gemma":[0.0000604285,0.00004598793,0.0007254416,0.00001094048,0.00003808231,0.00005968907,0.00005128564,0.9799129,0.00004228748,0.01843549,0.0005935277,0.00002393099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4956752,0.0018341,0.4438101,0.01003867,0.0007236344,0.0002874646,0.002731482,0.0004047827,0.04449441],"genre_scores_gemma":[0.9535488,0.0009469002,0.009004517,0.0004538854,0.0002793312,0.0002064489,0.0005288094,0.00004400189,0.03498746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01466206,"threshold_uncertainty_score":0.02935022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00845896341644066,"score_gpt":0.2795769531343406,"score_spread":0.2711179897179,"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."}}