{"id":"W3126041739","doi":"10.1017/asb.2014.5","title":"AN ACTUARIAL BALANCE SHEET MODEL FOR DEFINED BENEFIT PAY-AS-YOU-GO PENSION SYSTEMS WITH DISABILITY AND RETIREMENT CONTINGENCIES","year":2014,"lang":"en","type":"article","venue":"Astin Bulletin","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Solvency; Actuarial science; Pension; Social security; Balance sheet; Balance (ability); Pension plan; Asset (computer security); Economics; Disability insurance; Business; Finance; Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00248378,0.0008546583,0.0008600393,0.001285836,0.0007759061,0.003182137,0.00192398,0.002204474,0.008192698],"category_scores_gemma":[0.004720582,0.0006314158,0.000967743,0.0009536266,0.00148405,0.002016263,0.001228912,0.001754888,0.0009235052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002631382,"about_ca_system_score_gemma":0.002018077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02097627,"about_ca_topic_score_gemma":0.008797323,"domain_scores_codex":[0.9993157,0.0002672145,0.00003231938,0.0001214973,0.0001135403,0.0001497405],"domain_scores_gemma":[0.9982848,0.0009545909,0.0002730857,0.00008221051,0.0002110814,0.0001941318],"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":[0.00003883732,0.00003112656,0.0011498,0.0000226358,0.00002362282,0.0001729596,0.0001352296,0.857806,0.0002166044,0.1361085,0.00118977,0.003105087],"study_design_scores_gemma":[0.00001077689,0.00002160831,0.0003858504,0.00001430376,0.00001192847,0.00004274163,0.00006315791,0.9693349,0.00004575814,0.02858309,0.0014705,0.00001535352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3008749,0.0007434768,0.6223264,0.004986691,0.0002494081,0.0002458744,0.002330431,0.0005179743,0.06772487],"genre_scores_gemma":[0.9393315,0.0003856525,0.02136403,0.0001634509,0.00006879574,0.000216185,0.0006749143,0.00005746663,0.03773789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02097627,"threshold_uncertainty_score":0.04170835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808491763809278,"score_gpt":0.2687883151123655,"score_spread":0.2507033974742727,"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."}}