{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004355662,0.0001203967,0.0001800055,0.001076548,0.0006775099,0.0007716505,0.0002647154,0.0002137491,0.001457169],"category_scores_gemma":[0.001775242,0.00008684057,0.0001536299,0.00104414,0.0003004931,0.0006355089,0.0008994773,0.0004076468,0.0001880872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003412464,"about_ca_system_score_gemma":0.0004287871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05389417,"about_ca_topic_score_gemma":0.09616835,"domain_scores_codex":[0.9998128,0.00004221028,0.00002066798,0.00004172321,0.00003467626,0.00004795735],"domain_scores_gemma":[0.9994066,0.00007523008,0.0002051112,0.00005368064,0.000133873,0.0001254758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002855401,0.00002616951,0.9852557,0.00001330567,0.00001764923,0.00006858764,0.002288228,0.00008874393,0.0001668269,0.0003397057,0.0009623991,0.01074412],"study_design_scores_gemma":[0.000001221323,0.00001259284,0.993955,0.00002874643,0.000006305101,0.00005861129,0.004436127,0.0001207504,0.00004045277,0.00009225892,0.001244099,0.000003826885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978104,0.0002873349,0.00003276863,0.0002261525,0.000009190764,0.000002802421,0.0004349582,0.000002463274,0.001194004],"genre_scores_gemma":[0.9985088,0.0004092829,0.00004636363,0.00006869531,0.00001198116,0.000005089007,0.0005763774,0.000001804861,0.0003716333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05389417,"threshold_uncertainty_score":0.1071609,"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."}}