{"id":"W7044098459","doi":"","title":"2025 Update: Introducing the THIAs: Total Haig-Simons U.S. Household Income, Consumption, and Wealth Accounts, 1960–2023","year":2024,"lang":"en","type":"other","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; National Income and Product Accounts; Quarter (Canadian coin); Economic inequality; Construct (python library); National accounts; Panel Study of Income Dynamics; Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002766108,0.001014983,0.0005350982,0.007005942,0.000636247,0.00356894,0.001494814,0.00137998,0.05813733],"category_scores_gemma":[0.01707107,0.0005850331,0.0008093791,0.01271743,0.0004282401,0.004542311,0.00268241,0.002452628,0.05549184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002366736,"about_ca_system_score_gemma":0.005840864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08163708,"about_ca_topic_score_gemma":0.06893411,"domain_scores_codex":[0.9982822,0.00014894,0.0002720512,0.0001637367,0.0009740247,0.0001591049],"domain_scores_gemma":[0.9909157,0.0007950219,0.0009170402,0.0007473063,0.005959298,0.000665569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003647076,0.00001262826,0.001913019,0.0001958797,0.00001078965,0.00001750346,0.00003579885,0.000126817,0.00005150391,0.002018751,0.9725221,0.02305872],"study_design_scores_gemma":[0.000009460943,0.000004467708,0.007093756,0.0001665752,0.0000056032,0.00002125343,0.00003488384,0.00005793828,0.00009046358,0.000401045,0.9921044,0.00001015077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001313512,0.002482685,0.00135685,0.00317146,0.005135526,0.0001767179,0.9310187,0.001348185,0.0539964],"genre_scores_gemma":[0.009604631,0.00467887,0.009431344,0.002629002,0.001722754,0.0007440433,0.8958082,0.001136857,0.07424435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08163708,"threshold_uncertainty_score":0.1944888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339936097201843,"score_gpt":0.2096294696047589,"score_spread":0.1962301086327405,"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."}}