{"id":"W1496408815","doi":"","title":"International Mobility of Skilled Labour: Analytical and Empirical Issues, and Research Priorities","year":2005,"lang":"en","type":"article","venue":"International Trade","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Economics; Foreign direct investment; Human capital; Labor mobility; Convergence (economics); Investment (military); International economics; Labour economics; Comparative advantage; Goods and services; International trade; Economic growth; Macroeconomics; Economy; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009508021,0.00005730425,0.00009855999,0.0001291011,0.0001110591,0.0000909243,0.0002011277,0.00007484577,0.0005749457],"category_scores_gemma":[0.000580732,0.00005506775,0.00002781609,0.0001277877,0.0005556632,0.000206428,0.00005870458,0.000164097,0.000003447515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009212824,"about_ca_system_score_gemma":0.00008453125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004687585,"about_ca_topic_score_gemma":0.001441737,"domain_scores_codex":[0.9986336,0.0001438524,0.0002147508,0.0001762241,0.00069518,0.0001364043],"domain_scores_gemma":[0.9993847,0.0002856962,0.00003795498,0.00006743974,0.0001321195,0.00009206207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000612871,0.0002528042,0.08652502,0.00001044528,0.00006981072,0.000003049359,0.02345396,0.00002251121,0.000127757,0.8715286,0.003664809,0.01427994],"study_design_scores_gemma":[0.0003594532,0.00002674408,0.1091006,0.0000152181,0.000004195409,0.000003126499,0.002892519,0.008789592,0.00005363026,0.003090417,0.8755838,0.00008077041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8832034,0.0001435498,0.00005108467,0.09287035,0.0001994861,0.0001127716,0.00005300534,0.00002423413,0.02334211],"genre_scores_gemma":[0.9929551,0.001023416,0.0009769831,0.0002091824,0.0004198333,0.000004838778,0.000007938941,0.00000422676,0.004398521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.871919,"threshold_uncertainty_score":0.6295252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06975554256247979,"score_gpt":0.4638828667611357,"score_spread":0.3941273241986559,"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."}}