{"id":"W2108764314","doi":"10.25336/p6c326","title":"Job matching for Chinese and Asian Indian immigrants in Canada","year":2013,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; University of Toronto","funders":"","keywords":"Immigration; Earnings; Demographic economics; Asian Indian; Matching (statistics); Earnings growth; Asian americans; Multivariate analysis; Political science; Ethnic group; Economics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007752059,0.0002769251,0.0004328738,0.001760876,0.004304556,0.001279541,0.0009353863,0.0004143082,0.002009503],"category_scores_gemma":[0.002605707,0.0002278705,0.0004416237,0.004974142,0.0007486791,0.0003875699,0.001246414,0.000563804,0.0002026296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02163074,"about_ca_system_score_gemma":0.02751045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945934,"about_ca_topic_score_gemma":0.9976758,"domain_scores_codex":[0.9992043,0.0000690724,0.00004947145,0.0001035528,0.0001975971,0.0003759742],"domain_scores_gemma":[0.9982719,0.0001209863,0.0003760488,0.00006713645,0.0005877131,0.0005761012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000816688,0.00003579454,0.9885736,0.0000267337,0.00002959496,0.0001099203,0.004730959,0.0001328049,0.0001298845,0.0002182319,0.0008215707,0.005109373],"study_design_scores_gemma":[0.000004191972,0.0000171026,0.9873267,0.00002370725,0.00001147282,0.000033,0.01147157,0.0003306926,0.00004761912,0.00003091442,0.0006902142,0.00001277277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979602,0.000204515,0.00003266334,0.0001325541,0.000004588685,0.00001267651,0.0007840571,0.000002408013,0.0008663302],"genre_scores_gemma":[0.9983491,0.0002008699,0.00006843502,0.00004490767,0.000001982097,0.00000767406,0.0006820863,0.000002231733,0.0006428369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02163074,"threshold_uncertainty_score":0.1569427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675508073662238,"score_gpt":0.3028241547923848,"score_spread":0.2860690740557624,"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."}}