{"id":"W2557530242","doi":"10.1111/cars.12124","title":"Catching Up or Falling Behind? Continuing Wealth Disparities for Immigrants to Canada by Region of Origin and Cohort","year":2016,"lang":"en","type":"article","venue":"Canadian Review of Sociology/Revue canadienne de sociologie","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Immigration; Demographic economics; Geography; Human capital; Demography; Political science; Economics; Sociology; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001071509,0.0002100164,0.0003402066,0.001092431,0.002109288,0.00149183,0.0007488168,0.0003847949,0.001967034],"category_scores_gemma":[0.003856442,0.0001512397,0.0004652321,0.002254431,0.0008803395,0.0005345219,0.001099643,0.000712243,0.0001417017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00632683,"about_ca_system_score_gemma":0.011353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9691362,"about_ca_topic_score_gemma":0.983657,"domain_scores_codex":[0.9995539,0.00004458682,0.00001944211,0.00008376677,0.00008793388,0.0002104317],"domain_scores_gemma":[0.9986816,0.0002307831,0.0003641536,0.00007726756,0.000328052,0.0003180442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004393637,0.00001349737,0.9918199,0.00001103436,0.00003146076,0.00004696409,0.002335164,0.00007668084,0.00005782673,0.0002562636,0.0003997933,0.00490756],"study_design_scores_gemma":[0.000003591329,0.00001672447,0.9905372,0.00006826781,0.00003309134,0.00002969132,0.007590815,0.0003750464,0.00005749636,0.0001172268,0.001159464,0.00001126977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973702,0.0004987326,0.00007320272,0.0003131722,0.00000627583,0.000006643989,0.0007337696,0.000002825848,0.000995217],"genre_scores_gemma":[0.9982935,0.0003960966,0.00009583285,0.00007225625,0.000002678267,0.000005798043,0.0005040948,0.000002269302,0.0006274634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03086382,"threshold_uncertainty_score":0.06209111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02927152186191974,"score_gpt":0.2503350931662255,"score_spread":0.2210635713043058,"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."}}