{"id":"W1572585281","doi":"","title":"Private Pensions, Retirement Wealth and Lifetime Earnings","year":2010,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Earnings; Economics; Pension; Distribution (mathematics); Wealth distribution; Inequality; Private pension; National wealth; Labour economics; Health and Retirement Study; Net worth; Demographic 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001763447,0.00117165,0.001581508,0.001257682,0.0008781716,0.0009523871,0.0009789184,0.0009298329,0.005459688],"category_scores_gemma":[0.0008277405,0.001226724,0.0005631293,0.0004932788,0.0006160974,0.0009753812,0.003007865,0.002295987,0.002241365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557084,"about_ca_system_score_gemma":0.0003741046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001872582,"about_ca_topic_score_gemma":0.0008730645,"domain_scores_codex":[0.9943419,0.00008758845,0.001648104,0.002016387,0.0008356756,0.001070356],"domain_scores_gemma":[0.9952755,0.0001724077,0.002189714,0.001659663,0.000544735,0.0001579858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005137931,0.0001246056,0.9772284,0.0005711578,0.00008120104,0.00004635881,0.0001067707,0.00001711497,0.0003395264,0.004781517,0.01617066,0.0004813053],"study_design_scores_gemma":[0.0008908903,0.00003041337,0.7904375,0.0007970229,0.0006124187,0.00001400491,0.00005507952,0.002349415,0.00006485801,0.001830697,0.2012709,0.001646802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818555,0.0009455694,0.00002309737,0.001170142,0.004178626,0.001274018,0.00004412412,0.0004929614,0.01001595],"genre_scores_gemma":[0.9867071,0.0003998346,0.002482347,0.00298869,0.003980162,0.0001481139,0.0005277737,0.0002090495,0.002556923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1867909,"threshold_uncertainty_score":0.9990183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269657231140863,"score_gpt":0.2322885978027971,"score_spread":0.2195920254913885,"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."}}