{"id":"W4387195562","doi":"10.2139/ssrn.4584948","title":"Intergenerational Mobility of Immigrants by Refugee Status: An Analysis of Linked Landing Files and Tax Records","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Immigration; Refugee; Demographic economics; Political science; Criminology; Economics; Law; Sociology","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":[0.001327157,0.0002455457,0.0002931047,0.005304858,0.0007126521,0.001441259,0.0006122038,0.0005185246,0.003893413],"category_scores_gemma":[0.0063232,0.0002612252,0.0007229546,0.00829485,0.0003319697,0.001001302,0.001859198,0.0005047495,0.001037179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000480332,"about_ca_system_score_gemma":0.0007315114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03971463,"about_ca_topic_score_gemma":0.04095579,"domain_scores_codex":[0.9989238,0.0003779517,0.0001656603,0.0001883658,0.0001319599,0.000212182],"domain_scores_gemma":[0.9947765,0.001685477,0.002223903,0.0004420623,0.000547401,0.0003246592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007268963,0.00002657024,0.9969741,0.00001159016,0.00008032216,0.00008057195,0.0005504391,0.0001216644,0.00006369422,0.00008172465,0.0002380895,0.001698634],"study_design_scores_gemma":[0.000003442468,0.00003425153,0.9951994,0.00003083804,0.00004731817,0.0001302107,0.003183682,0.000576932,0.00005933715,0.00005366281,0.0006725473,0.000008395308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937308,0.0001530548,0.0001227797,0.00004511285,0.000003987809,0.00001227624,0.005493473,0.000005568189,0.0004329261],"genre_scores_gemma":[0.9901962,0.0001936522,0.000192114,0.00001511274,0.000005231042,0.00003042037,0.008536536,0.00000840796,0.0008224195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03971463,"threshold_uncertainty_score":0.07896692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150359261227103,"score_gpt":0.3050446865070343,"score_spread":0.2935410938947633,"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."}}