{"id":"W3004588335","doi":"","title":"A tale of two pension plans: Measuring pension plan risk from an economic capital perspective","year":2019,"lang":"en","type":"article","venue":"Kent Academic Repository (University of Kent)","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Pension; Actuarial science; Valuation (finance); Life expectancy; Context (archaeology); Business; Finance; Economics; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007069845,0.0001862556,0.0003936338,0.0002136402,0.0005235811,0.00002159805,0.0007029804,0.0002248888,0.0001461636],"category_scores_gemma":[0.000020382,0.0002346492,0.0002307568,0.0001408628,0.000432832,0.0007857296,0.0001700279,0.0004387035,0.00006246667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005367463,"about_ca_system_score_gemma":0.0001510398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08315901,"about_ca_topic_score_gemma":0.005718798,"domain_scores_codex":[0.9977227,0.000446866,0.0003048563,0.0005800503,0.0006250737,0.0003204274],"domain_scores_gemma":[0.9984906,0.0001029146,0.0006725178,0.0004272154,0.0001409178,0.0001658819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002280385,0.0001105668,0.9355609,0.00002832615,0.0001983519,0.00002881358,0.05119999,0.0006852558,0.006974327,0.004288965,0.0004658728,0.0002306157],"study_design_scores_gemma":[0.00199883,0.0002045051,0.8328261,0.0002167015,0.0003058305,0.000003660378,0.1574406,0.001005812,0.001832334,0.002559904,0.001108465,0.0004972339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857291,0.0003278792,0.00003313937,0.00009289067,0.0008480356,0.0005722039,0.00007104642,0.00007361495,0.01225207],"genre_scores_gemma":[0.9983852,0.0006728112,0.0001788325,0.00001276057,0.0001692402,4.935446e-7,0.00001844034,0.0000142427,0.0005479933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1062406,"threshold_uncertainty_score":0.9568716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665067635639536,"score_gpt":0.2496486872780283,"score_spread":0.2329980109216329,"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."}}