{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010366,0.0002838471,0.0004258221,0.0005122488,0.0002906775,0.001381511,0.0003347857,0.0007370225,0.005596457],"category_scores_gemma":[0.007751806,0.0002075322,0.0003117634,0.0005462122,0.0006968281,0.001917408,0.0007596109,0.0007948875,0.0004318955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008165128,"about_ca_system_score_gemma":0.0004467577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00340799,"about_ca_topic_score_gemma":0.003408068,"domain_scores_codex":[0.9996927,0.0001057726,0.00001345089,0.00004221394,0.00006064876,0.00008520988],"domain_scores_gemma":[0.9965994,0.001973787,0.000964991,0.0001883604,0.00009661674,0.0001768695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007748184,0.0005287656,0.4316308,0.0001864189,0.000284201,0.00110048,0.0008139607,0.1993589,0.001355329,0.2792657,0.003916544,0.08078409],"study_design_scores_gemma":[0.0001532025,0.0005385217,0.3688655,0.0001899351,0.0002138898,0.0006876485,0.0007267215,0.3350015,0.001644267,0.2839336,0.007949251,0.00009601314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768097,0.001257252,0.008692528,0.001523588,0.00001926397,0.00001978213,0.0007972913,0.00004247624,0.01083827],"genre_scores_gemma":[0.9970932,0.0003976822,0.000308453,0.00002600437,0.00001271475,0.000005679614,0.0001326536,0.000003625246,0.002019937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005596457,"threshold_uncertainty_score":0.018722,"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."}}