{"id":"W4246980243","doi":"10.32920/ryerson.14657427","title":"The Wealth of Immigrants: Expanding our Understanding of Immigrant Economic Integration in Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Immigration; Earnings; Inequality; Population; Asset (computer security); Demographic economics; Consumption (sociology); Market integration; Economics; Development economics; Political science; Sociology","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":[0.002684763,0.0003439858,0.0007168025,0.005623107,0.01005551,0.006521822,0.001144045,0.0008446693,0.003402242],"category_scores_gemma":[0.005932692,0.0001935624,0.0005762153,0.01070401,0.003265937,0.002644846,0.003284875,0.001705002,0.0001683045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08069167,"about_ca_system_score_gemma":0.1774219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966814,"about_ca_topic_score_gemma":0.9981391,"domain_scores_codex":[0.9988621,0.0001345059,0.00005944397,0.0001182841,0.0004229268,0.0004026727],"domain_scores_gemma":[0.9964429,0.000799912,0.0003547184,0.00009211002,0.001614356,0.0006959798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002377266,0.0001073604,0.3587219,0.002761535,0.0002201383,0.002496649,0.2044758,0.001202222,0.0006326961,0.06602106,0.03866965,0.3244532],"study_design_scores_gemma":[0.00001823857,0.00004689454,0.594398,0.006860343,0.0002934363,0.0004737997,0.2243405,0.001367916,0.0003458587,0.009681266,0.1620047,0.0001690881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7443465,0.1241528,0.0009211946,0.04966242,0.000452608,0.0001008147,0.004091769,0.00002749266,0.07624433],"genre_scores_gemma":[0.9139982,0.07760994,0.0008101174,0.002917014,0.0000974399,0.0000315434,0.0007578842,0.00001753138,0.003760349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08069167,"threshold_uncertainty_score":0.5854617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04857636223275087,"score_gpt":0.3053336181937926,"score_spread":0.2567572559610417,"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."}}