{"id":"W3178072776","doi":"10.7758/rsf.2021.7.3.03","title":"Investment, Saving, and Borrowing for Children: Trends by Wealth, Race, and Ethnicity, 1998–2016","year":2021,"lang":"en","type":"article","venue":"RSF The Russell Sage Foundation Journal of the Social Sciences","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ethnic group; Debt; Race (biology); Inequality; Investment (military); Distribution (mathematics); Economics; Demographic economics; White (mutation); Labour economics; Finance; Political science; Sociology; Gender studies","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001651737,0.00009758355,0.0002420722,0.00007542583,0.001414029,0.0002837115,0.0002895208,0.00005657959,0.00003745422],"category_scores_gemma":[0.00005359161,0.00006670734,0.000119887,0.0003789577,0.0003968541,0.0003964042,0.00007622647,0.0001465795,0.000003378347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004951256,"about_ca_system_score_gemma":0.00007860863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001521285,"about_ca_topic_score_gemma":0.0000676217,"domain_scores_codex":[0.9990262,0.00007308742,0.0004214981,0.0001838773,0.00008971191,0.00020564],"domain_scores_gemma":[0.9989902,0.0001023533,0.0007496093,0.00008584473,0.0000266675,0.00004536195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001332587,0.0005234543,0.09222321,0.0001318244,0.0005902361,0.000005403147,0.06634531,0.0001707555,0.003473099,0.4822485,0.1038322,0.2503227],"study_design_scores_gemma":[0.002476693,0.0003106848,0.1874424,0.0001741662,0.0001159387,0.0001328347,0.001430109,0.0007099301,0.0010415,0.08987247,0.7156739,0.0006193974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649623,0.007902666,0.00126809,0.01793161,0.0009168567,0.0001414923,0.00004665201,0.000008293011,0.006822044],"genre_scores_gemma":[0.9916504,0.002922998,0.0004370977,0.002179072,0.0004066144,0.000002648038,0.000002531101,0.00001009308,0.002388556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6118417,"threshold_uncertainty_score":0.999886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960785089129281,"score_gpt":0.2785057523675564,"score_spread":0.2488979014762636,"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."}}