{"id":"W4415019678","doi":"10.1215/00703370-12253766","title":"The Growth and Diversity of Older Undocumented Immigrants in the United States","year":2025,"lang":"en","type":"article","venue":"Demography","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"National Institute of Child Health and Human Development; National Institute on Aging; Pennsylvania State University; Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of Pennsylvania","keywords":"Immigration; Socioeconomic status; Disadvantaged; Population; Diversity (politics); Population ageing; Disadvantage","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000424464,0.00003607237,0.00004702665,0.0001327366,0.0005423904,0.00003789218,0.0001795438,0.00002537379,0.000004194241],"category_scores_gemma":[0.00004532575,0.00002134738,0.00002875343,0.001428475,0.0002783979,0.00004223024,0.00003866978,0.0000576631,1.47203e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003961826,"about_ca_system_score_gemma":0.00001367096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01253686,"about_ca_topic_score_gemma":0.045532,"domain_scores_codex":[0.9994208,0.0002068076,0.0000800933,0.00006087748,0.0001343458,0.00009711295],"domain_scores_gemma":[0.9995792,0.0002618974,0.0000316535,0.00006740248,0.00004523365,0.00001463233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001404755,0.00003419757,0.7649866,0.000007536165,0.00002701057,5.578891e-7,0.03798119,0.000004090531,0.000005671403,0.1942328,0.002110003,0.0005963109],"study_design_scores_gemma":[0.0004313157,0.0000135711,0.8807963,0.00002188831,0.00002377525,5.486813e-8,0.07780746,0.000423531,0.00001199511,0.01549911,0.02490561,0.00006542008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927472,0.0002295668,0.000105101,0.004599274,0.00004566575,0.0001455603,0.000009266713,0.00001025616,0.002108062],"genre_scores_gemma":[0.9971948,0.002121857,0.000009984988,0.0005653425,0.000003307267,0.000002446831,0.000006484725,8.462485e-7,0.00009494984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1787337,"threshold_uncertainty_score":0.9940388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006598759003154561,"score_gpt":0.2605574624558255,"score_spread":0.253958703452671,"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."}}