{"id":"W2460395938","doi":"10.69645/ponl7569","title":"A dynamic stochastic pension fund model 1","year":2013,"lang":"en","type":"article","venue":"˜The œbusiness & management collection.","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pension fund; Pension; Business; Actuarial science; Econometrics; Economics; Finance","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"],"consensus_categories":[],"category_scores_codex":[0.0008407369,0.0002988393,0.0002593679,0.0004997178,0.002586649,0.0005485527,0.0006872355,0.00009949959,0.0004975908],"category_scores_gemma":[0.00002424727,0.0002564103,0.0001471361,0.003199833,0.0003916388,0.0005596165,0.0002883111,0.0001877287,0.0005286154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003620472,"about_ca_system_score_gemma":0.00008211507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00595131,"about_ca_topic_score_gemma":0.009899959,"domain_scores_codex":[0.9970842,0.0002111322,0.0004088483,0.000574856,0.001015523,0.0007054611],"domain_scores_gemma":[0.998481,0.00007028694,0.0002054766,0.0006652922,0.0004649525,0.0001129663],"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":[0.0002264249,0.001710768,0.003599552,0.0005736243,0.001375873,0.00005392056,0.009680016,0.4402184,0.00009088335,0.1108305,0.3493707,0.08226935],"study_design_scores_gemma":[0.001878305,0.00004902898,0.3106559,0.0001342862,0.000592428,0.000004231696,0.008967977,0.5590695,8.316845e-7,0.05257265,0.06475386,0.001321001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2238929,0.0006407892,0.3868507,0.01250006,0.005975067,0.01255044,0.00001434739,0.001555073,0.3560206],"genre_scores_gemma":[0.9395121,0.0002945064,0.0009486593,0.0006025898,0.0001127296,0.0007974326,0.000009966657,0.00004116897,0.05768086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7156191,"threshold_uncertainty_score":0.9999888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068889912981996,"score_gpt":0.2742265942264467,"score_spread":0.2535376950966268,"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."}}