{"id":"W2763157958","doi":"10.1111/imig.12388","title":"Highly‐skilled Migration from China and India to Canada and the United States","year":2017,"lang":"en","type":"article","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"China; Immigration; Human capital; Educational attainment; Population; Brain drain; Development economics; Political science; Economic growth; Immigration policy; Demographic economics; Empirical evidence; Geography; Economics; Sociology; Demography","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":[0.0003292961,0.0001836175,0.000171079,0.001343246,0.001675646,0.001147048,0.0004948291,0.0001801731,0.002926358],"category_scores_gemma":[0.001797693,0.00006389698,0.0002151869,0.003420127,0.0004981129,0.0002728301,0.001102822,0.0005150496,0.0001444936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005928472,"about_ca_system_score_gemma":0.01478689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9601142,"about_ca_topic_score_gemma":0.9747114,"domain_scores_codex":[0.9995117,0.00005315843,0.00002189592,0.00004419818,0.00007520257,0.0002938193],"domain_scores_gemma":[0.9981622,0.0001860224,0.000600545,0.00008009695,0.0005737428,0.0003973922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000712958,0.00003336399,0.9727221,0.000067151,0.00005244114,0.000244936,0.002219207,0.0004826101,0.0000947775,0.002544115,0.00582808,0.01564015],"study_design_scores_gemma":[0.000007013994,0.00001741243,0.9818169,0.0001103954,0.00003431991,0.00007521649,0.0107756,0.0006104785,0.0001968382,0.0002410408,0.006097105,0.00001779968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878279,0.0004495518,0.0001206578,0.0009264763,0.00002324594,0.00002112451,0.004000334,0.00001467386,0.006616128],"genre_scores_gemma":[0.9951869,0.0005632522,0.00009804354,0.0001354266,0.000007967861,0.00000880854,0.001896849,0.000002606463,0.002100244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03988582,"threshold_uncertainty_score":0.08024138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006156144760263011,"score_gpt":0.2624250654573705,"score_spread":0.2562689206971075,"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."}}