{"id":"W2217125754","doi":"","title":"The Race for Talent: Highly Skilled Migrants and Competitive Immigration Regimes","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":233,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Immigration; Competition (biology); Citizenship; Political science; Emigration; Development economics; Economic growth; Politics; Political economy; Economics; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001642239,0.00008142802,0.00009302735,0.00003686158,0.00153955,0.0001787724,0.0001345796,0.00005653752,0.000005804065],"category_scores_gemma":[0.00008877068,0.00005820574,0.00006353753,0.000123687,0.0001532644,0.0001623594,0.00000756635,0.0003386316,0.000003167029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002919069,"about_ca_system_score_gemma":0.0007866474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000815844,"about_ca_topic_score_gemma":0.2746491,"domain_scores_codex":[0.9984289,0.0001490473,0.0001811904,0.0001105601,0.0002159188,0.0009144116],"domain_scores_gemma":[0.9993849,0.0002004019,0.0001509976,0.0000595239,0.0001596334,0.00004454666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000361713,0.00001722777,0.0005998801,9.278648e-7,0.00002111198,2.024791e-7,0.00164605,0.000008139098,0.00004546968,0.992501,0.0006449246,0.004478896],"study_design_scores_gemma":[0.001215276,0.0001890531,0.001792535,0.00001945471,0.00004559241,0.00002735086,0.04253677,0.0008170567,0.00004849057,0.4807541,0.4723368,0.0002175558],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151092,0.01170084,0.02229272,0.03951924,0.0006462756,0.0008711458,0.00001796815,0.00007943227,0.009763153],"genre_scores_gemma":[0.9562209,0.01479736,0.00008922527,0.0000755071,0.0004492246,0.00001143755,0.000008056789,0.000008926386,0.02833934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5117469,"threshold_uncertainty_score":0.9997603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003707812366872922,"score_gpt":0.2484634435029723,"score_spread":0.2447556311360994,"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."}}