{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001479112,0.0008542287,0.001626941,0.0008949382,0.0006956195,0.002938718,0.002295154,0.003915699,0.008939501],"category_scores_gemma":[0.005568517,0.0006020531,0.0007688953,0.0009261033,0.001343917,0.001899626,0.00123356,0.002112147,0.0009255012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002149075,"about_ca_system_score_gemma":0.0020919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02498055,"about_ca_topic_score_gemma":0.01185986,"domain_scores_codex":[0.9993938,0.0002496546,0.00002764639,0.0001135137,0.00009068983,0.000124706],"domain_scores_gemma":[0.9979271,0.001090696,0.0003756325,0.00007947991,0.0002168967,0.000310193],"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":[0.0001169787,0.00008139653,0.002120911,0.00008099079,0.00006918768,0.0003740662,0.0001329294,0.6398816,0.0003141513,0.3464528,0.005754384,0.004620598],"study_design_scores_gemma":[0.00009875993,0.00004503197,0.0005763949,0.00002900695,0.00003832285,0.00007859199,0.00006612924,0.9236605,0.00004667808,0.0723405,0.002990222,0.00002985639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.404397,0.00579425,0.4292408,0.02240037,0.0007850764,0.0002733917,0.0080223,0.00073531,0.1283513],"genre_scores_gemma":[0.9216707,0.001629659,0.008491442,0.0003638481,0.0002877358,0.0002052059,0.001120128,0.00005541233,0.0661758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02498055,"threshold_uncertainty_score":0.04967028,"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."}}