{"id":"W2937929806","doi":"10.15185/izawol.459","title":"Why do STEM immigrants do better in one country than another?","year":2019,"lang":"en","type":"article","venue":"IZA World of Labor","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Immigration; Demographic economics; Political science; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0009561458,0.0001983948,0.0004037871,0.0007860092,0.001308193,0.002937555,0.000254368,0.0009489521,0.008425008],"category_scores_gemma":[0.003884218,0.000115732,0.0002958995,0.001074423,0.0009633312,0.001335218,0.0008901025,0.001073818,0.001403534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000363678,"about_ca_system_score_gemma":0.0007200941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009898643,"about_ca_topic_score_gemma":0.02328061,"domain_scores_codex":[0.9995112,0.00008664413,0.00002089851,0.00005886524,0.00005462273,0.0002678756],"domain_scores_gemma":[0.9975849,0.0004337894,0.0005407809,0.0001082942,0.0003410095,0.0009911264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003568412,0.0004242481,0.9426613,0.0001208696,0.0002328516,0.0004081719,0.007394334,0.00009300018,0.001130705,0.003429194,0.004669899,0.0390785],"study_design_scores_gemma":[0.00005529321,0.0003031441,0.9446731,0.0001689413,0.0001432626,0.0001843131,0.04097358,0.0001764933,0.0005910741,0.003478824,0.009215527,0.00003645986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882217,0.0003903171,0.00007611678,0.002854804,0.0001165577,0.00001386532,0.0002611251,0.000006016978,0.008059578],"genre_scores_gemma":[0.9950537,0.0003267977,0.0001052968,0.001471142,0.00004919459,0.00001035311,0.0001650619,0.000006857852,0.002811599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009898643,"threshold_uncertainty_score":0.02818441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299895792241128,"score_gpt":0.2593273455979354,"score_spread":0.2463283876755241,"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."}}