{"id":"W2105482844","doi":"10.1111/imig.12139","title":"Recruiting High Skill Labour in North America: Policies, Outcomes and Futures","year":2013,"lang":"en","type":"article","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Immigration; Consolidation (business); Immigration policy; Labour economics; Political science; Economics; Business; Demographic economics; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001938676,0.0002019948,0.0002743205,0.00130697,0.004542719,0.002847409,0.0012319,0.001033755,0.004235797],"category_scores_gemma":[0.003816412,0.0001222249,0.0002177337,0.002512883,0.001287002,0.0006459158,0.00168694,0.001037913,0.0004592089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02833935,"about_ca_system_score_gemma":0.0678941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9621381,"about_ca_topic_score_gemma":0.9827313,"domain_scores_codex":[0.9980686,0.0003305115,0.00002688482,0.00009069862,0.0002449106,0.001238481],"domain_scores_gemma":[0.9943824,0.0003861876,0.0004672663,0.00009698099,0.001717943,0.002949098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006128262,0.001106537,0.7257307,0.000356224,0.00005347069,0.0005226735,0.01686317,0.001373239,0.0005211092,0.01853529,0.06637936,0.1679453],"study_design_scores_gemma":[0.00006251766,0.0001802754,0.9073205,0.0004402557,0.0000314067,0.00009125112,0.05204381,0.000905079,0.0003006471,0.00189764,0.03668025,0.00004635809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352663,0.002834809,0.0002083048,0.02073145,0.0001110891,0.0001279759,0.001438022,0.00005089121,0.03923134],"genre_scores_gemma":[0.979231,0.002336749,0.0003556346,0.003856589,0.00004063003,0.000104891,0.0009976659,0.00001317153,0.0130636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9621381,"threshold_uncertainty_score":0.2056174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112619649536872,"score_gpt":0.2922167021213793,"score_spread":0.2809547371676921,"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."}}