{"id":"W1502771836","doi":"10.3386/w15170","title":"Market Valuation of Accrued Social Security Benefits","year":2009,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"Australian Government; U.S. Social Security Administration","keywords":"Valuation (finance); Social security; Business; Actuarial science; Economics; Finance; Market economy","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":[0.005390979,0.0004785689,0.0005636501,0.001869186,0.0004197769,0.004021173,0.0009798104,0.001467554,0.006798601],"category_scores_gemma":[0.02549259,0.0002729581,0.000581257,0.001404191,0.001205525,0.004943093,0.0007027756,0.001509111,0.0005883098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002997546,"about_ca_system_score_gemma":0.001065207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002368262,"about_ca_topic_score_gemma":0.001551962,"domain_scores_codex":[0.9964187,0.001284885,0.0001740223,0.000254693,0.001657955,0.0002097072],"domain_scores_gemma":[0.9883516,0.006292988,0.002414338,0.0007970334,0.001811224,0.0003326723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004817856,0.0003280018,0.02805762,0.0001776161,0.0001765752,0.0005099939,0.0008480089,0.0855025,0.004934329,0.8054883,0.006380404,0.06711479],"study_design_scores_gemma":[0.0001289678,0.0007882174,0.06332971,0.0002862267,0.0001181689,0.0006483001,0.00141286,0.3284871,0.006132491,0.5566949,0.04177601,0.0001971653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6476867,0.005333065,0.1570756,0.006662171,0.0005540384,0.0004750034,0.004592501,0.0002962302,0.1773247],"genre_scores_gemma":[0.9797747,0.0008581398,0.00688654,0.00007749737,0.0001444008,0.00008306679,0.0008863676,0.00002543644,0.01126396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006798601,"threshold_uncertainty_score":0.02851051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4045693550666302,"score_gpt":0.5438499606667133,"score_spread":0.1392806056000832,"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."}}