{"id":"W3081081930","doi":"10.1016/j.econmod.2020.08.004","title":"The welfare impact of migration with endogenous cross-border movement: An application to the European Union","year":2020,"lang":"en","type":"article","venue":"Economic Modelling","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Immigration; Economics; Welfare; European union; Productivity; Computable general equilibrium; Labour economics; Applied general equilibrium; Brexit; Demographic economics; International economics; Labor mobility; General equilibrium theory; Macroeconomics; Political science; Market economy","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":[0.003164261,0.001210436,0.001989864,0.001189138,0.001718858,0.004143423,0.001973306,0.004996096,0.007871261],"category_scores_gemma":[0.008796271,0.0007463871,0.002230415,0.002345152,0.003183425,0.002917388,0.003641796,0.002456193,0.0003132815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004059789,"about_ca_system_score_gemma":0.00325157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04451402,"about_ca_topic_score_gemma":0.02136431,"domain_scores_codex":[0.9983073,0.00118744,0.00003269178,0.0001269674,0.00006546258,0.0002800633],"domain_scores_gemma":[0.9970875,0.002085994,0.0002415773,0.0001261966,0.0001824073,0.0002763279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001419679,0.0002453121,0.001793595,0.0000806764,0.0000951825,0.0003450768,0.0002308773,0.7149845,0.0002116912,0.275039,0.002201446,0.004630586],"study_design_scores_gemma":[0.000101977,0.00007712319,0.0009265235,0.00005421339,0.0000656742,0.00005717546,0.0004757625,0.8757284,0.00008859513,0.1206667,0.001725883,0.00003188789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6930165,0.005738227,0.1950234,0.0160567,0.0009515911,0.0001803184,0.0005460012,0.0001772216,0.08831007],"genre_scores_gemma":[0.9724845,0.002034996,0.00735083,0.0003696596,0.0002208143,0.00009529165,0.00007173946,0.00004913003,0.01732302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04451402,"threshold_uncertainty_score":0.08850986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505261909851988,"score_gpt":0.3141337230118855,"score_spread":0.2890811039133656,"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."}}