{"id":"W2117596946","doi":"","title":"Homeownership Gaps Among Low-Income and Minority Households","year":2007,"lang":"en","type":"article","venue":"Syracuse University Libraries (Syracuse University)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Harvard University; U.S. Department of Housing and Urban Development","keywords":"Quarter (Canadian coin); Demographic economics; Socioeconomic status; Population; White (mutation); Ethnic group; Percentage point; Economics; Geography; Labour economics; Demography; Political science; Sociology; 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":[0.0008121278,0.00008656599,0.0002053696,0.0008654585,0.0005185995,0.0006922632,0.0003288522,0.0002254585,0.002005373],"category_scores_gemma":[0.003594272,0.00007462344,0.0001537919,0.001153746,0.0003766207,0.001125546,0.001029458,0.0004211168,0.0001844228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006868253,"about_ca_system_score_gemma":0.0005194665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03074251,"about_ca_topic_score_gemma":0.05840955,"domain_scores_codex":[0.9996585,0.00007685968,0.00002649614,0.00006630643,0.000067765,0.0001040665],"domain_scores_gemma":[0.9980154,0.0005401492,0.0008821487,0.00007998991,0.0002274636,0.0002547773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005551639,0.00009243874,0.976889,0.00004548916,0.00002410114,0.0001148131,0.002801457,0.0002413883,0.00009964137,0.001299314,0.0009759766,0.01736091],"study_design_scores_gemma":[0.000001004829,0.00001569967,0.9955895,0.00003212353,0.000004585886,0.00002897189,0.002984213,0.0003543198,0.00005620301,0.0003604641,0.0005705138,0.000002441923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977003,0.0005458753,0.00006531424,0.0003318459,0.00000505951,0.000003964792,0.0002740437,0.000001691131,0.001072001],"genre_scores_gemma":[0.9992543,0.0002649398,0.00003655201,0.00002569186,0.000009211193,0.000004227758,0.0002016805,6.379698e-7,0.0002027288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03074251,"threshold_uncertainty_score":0.06112713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445311104167052,"score_gpt":0.1518051316145181,"score_spread":0.1373520205728476,"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."}}