{"id":"W1578185228","doi":"","title":"Wealth Accumulation of US Households: What Do We Learn from the SIPP Data?","year":2001,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Survey of Income and Program Participation; Social security; Pension; Economics; Payment; Distribution (mathematics); Demographic economics; Survey data collection; Labour economics; Finance; Statistics","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":[0.004102897,0.0004856252,0.001019236,0.002896935,0.0004396723,0.002333313,0.0008966689,0.001346479,0.003403803],"category_scores_gemma":[0.03228193,0.0003357207,0.0007332122,0.00409773,0.00113817,0.006919588,0.001813798,0.002321607,0.001174093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004707073,"about_ca_system_score_gemma":0.0007364657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01037448,"about_ca_topic_score_gemma":0.01207311,"domain_scores_codex":[0.9988231,0.0005307423,0.0001122748,0.0002362182,0.000172117,0.0001254483],"domain_scores_gemma":[0.9820009,0.01049767,0.003253459,0.002135084,0.001468012,0.0006449273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001268495,0.0001553632,0.7830356,0.0008477123,0.0004499404,0.0003104148,0.002333034,0.001457389,0.0001758587,0.008012783,0.01453748,0.1885575],"study_design_scores_gemma":[0.00003098982,0.0003569688,0.8714569,0.002542061,0.0003600752,0.0006446948,0.006215308,0.004140723,0.0006259332,0.05731564,0.05617024,0.0001404837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7875835,0.09592208,0.01518324,0.06338157,0.0009322412,0.00009285028,0.01845098,0.0001166436,0.01833705],"genre_scores_gemma":[0.8977681,0.07270779,0.005312197,0.007445417,0.001964544,0.0000616871,0.0127137,0.00005498187,0.001971696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01037448,"threshold_uncertainty_score":0.02169847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135246082213314,"score_gpt":0.3487757187140835,"score_spread":0.235251110492752,"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."}}