{"id":"W4406916248","doi":"10.2139/ssrn.5112650","title":"Demographic Preferences and Income Segregation","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Demographic economics; Economics; Psychology","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":[0.0005635896,0.00009146425,0.0001535413,0.0006414081,0.000712737,0.001068993,0.0001263667,0.0003120825,0.01194835],"category_scores_gemma":[0.002655868,0.00006934644,0.0001288946,0.0007747344,0.0004347086,0.0005293326,0.0006808391,0.000385782,0.0008482412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587802,"about_ca_system_score_gemma":0.0001913505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002433619,"about_ca_topic_score_gemma":0.00643466,"domain_scores_codex":[0.9997839,0.00008912857,0.000008173592,0.00001658917,0.00002968512,0.00007242661],"domain_scores_gemma":[0.9986669,0.0004177489,0.0003223413,0.00005314927,0.0001015065,0.0004382842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003394359,0.0004335908,0.9643878,0.00001415697,0.00005009575,0.0001788615,0.001617957,0.0004069164,0.0002348275,0.01458917,0.0009856807,0.01676141],"study_design_scores_gemma":[0.00001392448,0.000107615,0.9787717,0.00001660255,0.00002885236,0.0001684582,0.005468643,0.001119728,0.0001410616,0.01119681,0.002958588,0.000007931879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875513,0.0001537478,0.0001324996,0.0005721941,0.000006380753,0.000002827837,0.0001079819,0.000001672807,0.0114714],"genre_scores_gemma":[0.9986155,0.00006343422,0.0000268292,0.00002846938,0.000008114625,0.000001492678,0.00004501691,8.838124e-7,0.001210187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01194835,"threshold_uncertainty_score":0.03997123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140994610234324,"score_gpt":0.2954007473599137,"score_spread":0.2813012863364813,"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."}}