{"id":"W2050306497","doi":"10.1353/foc.2006.0013","title":"Making It in America: Social Mobility in the Immigrant Population","year":2006,"lang":"en","type":"article","venue":"The Future of Children","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Earnings; Demographic economics; Ethnic group; Wage; Disadvantage; Population; Economics; Labour economics; Demography; Geography; Political science; Sociology","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":[0.0009568139,0.0002015934,0.0002720763,0.00181156,0.004633613,0.002802992,0.000478721,0.001594791,0.002560442],"category_scores_gemma":[0.001209519,0.0002310269,0.000291269,0.00327676,0.001690907,0.004430109,0.002410064,0.002338904,0.0002734197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559784,"about_ca_system_score_gemma":0.002143047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0989138,"about_ca_topic_score_gemma":0.175026,"domain_scores_codex":[0.9995896,0.0001149574,0.00002329928,0.0000356193,0.00007102056,0.0001654831],"domain_scores_gemma":[0.9995184,0.00007348593,0.00009399576,0.0000127406,0.00007562387,0.0002256698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009232816,0.0003349386,0.4677595,0.0003438573,0.00007700143,0.001747722,0.2790504,0.0001314463,0.0005446383,0.03074911,0.08350983,0.1356592],"study_design_scores_gemma":[0.00001482506,0.0001589248,0.4946899,0.0006973011,0.00003560233,0.0008807121,0.3483483,0.0001509836,0.00007962699,0.003618354,0.1512666,0.00005888485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8303136,0.03807563,0.0001279109,0.1055846,0.00138123,0.0000314036,0.0007105682,0.0000118809,0.02376315],"genre_scores_gemma":[0.9146506,0.05968884,0.0002100405,0.01598281,0.001092841,0.00006762138,0.0005791606,0.00001247075,0.007715627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0989138,"threshold_uncertainty_score":0.1966761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02946296458719104,"score_gpt":0.3430004045161036,"score_spread":0.3135374399289126,"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."}}