{"id":"W3151771630","doi":"","title":"Changes in Household Wealth in the 1980s and 1990s in the United States","year":2006,"lang":"en","type":"article","venue":"Chapters","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; National wealth; Demographic economics; Labour economics; Finance","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":[0.000389243,0.0002096393,0.0002157833,0.002458749,0.0004315128,0.0009045869,0.0002305801,0.0004202927,0.001653556],"category_scores_gemma":[0.001204799,0.0001500148,0.000210975,0.006126183,0.0002200444,0.0008594188,0.0006362658,0.0005127396,0.0003920723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303405,"about_ca_system_score_gemma":0.0005004873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1051552,"about_ca_topic_score_gemma":0.2482531,"domain_scores_codex":[0.9998355,0.00002525541,0.00001638174,0.00002394566,0.00005524559,0.00004369311],"domain_scores_gemma":[0.9994826,0.0001170314,0.000195731,0.00001699409,0.0001284463,0.00005910059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002188658,0.0001428687,0.7079749,0.000414445,0.0002149126,0.0004587602,0.01007901,0.001916549,0.0003205686,0.006546338,0.1202918,0.1514209],"study_design_scores_gemma":[0.000002247263,0.00002018548,0.9692728,0.0001192194,0.00001837714,0.00007123899,0.002161014,0.0001496155,0.00007009722,0.0002673217,0.02784143,0.000006396485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9054637,0.03225411,0.000242809,0.002638821,0.0004666596,0.00002412513,0.02684419,0.00005692167,0.03200869],"genre_scores_gemma":[0.9227251,0.03169761,0.0004812071,0.0006452486,0.0003017597,0.00005888546,0.02869842,0.0000234959,0.01536831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1051552,"threshold_uncertainty_score":0.2090862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04042489421532759,"score_gpt":0.2134576739265627,"score_spread":0.1730327797112352,"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."}}