{"id":"W4295067615","doi":"10.3390/jrfm15090391","title":"The Determinants of Immigrants’ Skill Composition","year":2022,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Demographic economics; Instrumental variable; Educational attainment; Productivity; Panel data; Composition (language); Government (linguistics); Population; Variable (mathematics); Robustness (evolution); Economics; Geography; Economic growth; Sociology; Econometrics; Demography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003762449,0.00008785231,0.0001186554,0.0005680846,0.0004133423,0.0005599105,0.0001444958,0.0002009262,0.004250769],"category_scores_gemma":[0.001980012,0.00005511781,0.0001649585,0.0005308196,0.0002800104,0.0002725176,0.0005768901,0.0003123575,0.0004258509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002573348,"about_ca_system_score_gemma":0.0004910465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01854316,"about_ca_topic_score_gemma":0.0221122,"domain_scores_codex":[0.999821,0.00003259449,0.00001000324,0.00002194975,0.00002202954,0.00009244054],"domain_scores_gemma":[0.9994234,0.0001686846,0.0001913743,0.00003107653,0.00006315878,0.0001223898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006266832,0.00006294733,0.961619,0.00003201243,0.00003583659,0.0003036883,0.002736958,0.000452212,0.0006486227,0.005907312,0.001055576,0.02708313],"study_design_scores_gemma":[0.000005733323,0.00004255825,0.9870616,0.00006321567,0.00001618895,0.0001158258,0.006881645,0.001164373,0.0001728678,0.001720881,0.002748771,0.000006432453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968359,0.0001189479,0.0001550799,0.0003589841,0.000005905513,0.000004626832,0.00009977164,0.000002006109,0.00241862],"genre_scores_gemma":[0.9986776,0.0001258355,0.00006894098,0.00004170267,0.000007274257,0.000003045107,0.00009121001,0.000001005206,0.0009835379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01854316,"threshold_uncertainty_score":0.03687042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005443480947266759,"score_gpt":0.2468452701665333,"score_spread":0.2414017892192666,"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."}}