{"id":"W1524466022","doi":"","title":"Immigrant Economic and Social Outcomes in Canada: Research and Data Development at Statistics Canada","year":2008,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Recession; Official statistics; Economic statistics; Economic growth; Political science; Demographic economics; Economics; Statistics; Law","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":[0.01264197,0.0008261458,0.001374822,0.02581686,0.007974034,0.005872842,0.003450764,0.0006761553,0.005678406],"category_scores_gemma":[0.04212414,0.0009301592,0.001488646,0.06551915,0.002432289,0.001450781,0.003470103,0.002060418,0.001291536],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.153947,"about_ca_system_score_gemma":0.4047596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990003,"about_ca_topic_score_gemma":0.9990026,"domain_scores_codex":[0.9753116,0.001835291,0.001978469,0.001198618,0.01646718,0.003208864],"domain_scores_gemma":[0.8599983,0.007755811,0.007342074,0.002696896,0.1134302,0.008776709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002083507,0.0003106083,0.6972462,0.002127516,0.0005721353,0.0003897889,0.008210965,0.001706024,0.000266433,0.005336105,0.1970091,0.08661663],"study_design_scores_gemma":[0.00003186948,0.00005247759,0.9194327,0.001329955,0.0001070476,0.00005064261,0.006917965,0.0007018418,0.0002361937,0.0002006845,0.07081664,0.0001220331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2926759,0.01475737,0.002722712,0.01171432,0.0004981181,0.003484524,0.6106917,0.0005647834,0.06289058],"genre_scores_gemma":[0.5702058,0.02799454,0.01111825,0.003605721,0.000248918,0.005049629,0.3585552,0.0004126178,0.02280934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.846053,"threshold_uncertainty_score":0.9813016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07143908199007931,"score_gpt":0.3638244940989519,"score_spread":0.2923854121088726,"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."}}