{"id":"W1940348849","doi":"10.3368/jhr.xli.4.841","title":"The Wealth of Mexican Americans","year":2006,"lang":"en","type":"article","venue":"The Journal of Human Resources","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bayer (Canada); York University","funders":"","keywords":"Disadvantage; Mexican americans; Demographic economics; Ethnic group; National wealth; Educational attainment; Economics; Position (finance); Inequality; White (mutation); Net worth; Economic growth; Political science","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":[0.0002752492,0.00008097196,0.000136432,0.0009100361,0.0007035392,0.0006706966,0.0001061414,0.0001676045,0.004017081],"category_scores_gemma":[0.00201897,0.0000617209,0.0000775143,0.0007564051,0.0001870158,0.0004489398,0.0006103427,0.0002560428,0.0002044455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002159941,"about_ca_system_score_gemma":0.0001464059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008931233,"about_ca_topic_score_gemma":0.01117672,"domain_scores_codex":[0.9999057,0.00002255952,0.000004826057,0.00001322241,0.00002332951,0.00003037453],"domain_scores_gemma":[0.9996524,0.0000474472,0.0001721956,0.0000202087,0.00004151178,0.00006631102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002089847,0.00005802973,0.9562271,0.00002801287,0.00006300222,0.0003121608,0.003332997,0.00006326412,0.0005007343,0.002599578,0.002223998,0.03438216],"study_design_scores_gemma":[0.000007741621,0.00003484635,0.9907464,0.00003257185,0.00002765009,0.0001715983,0.003491835,0.0001004769,0.00008842901,0.0006798551,0.004612865,0.00000581883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994476,0.0004051074,0.0000358782,0.0005583781,0.000007580923,0.000002480273,0.0002883531,0.000001403863,0.004224846],"genre_scores_gemma":[0.9989347,0.0003057354,0.00002795164,0.00007202882,0.00001264779,0.000002506103,0.0001459288,6.81463e-7,0.0004979232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008931233,"threshold_uncertainty_score":0.01775849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171876335005645,"score_gpt":0.2374877088812899,"score_spread":0.2257689455312334,"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."}}