{"id":"W7116043124","doi":"10.13140/rg.2.2.24058.56006","title":"Attracting Minds: How Canada and China Make Pragmatic Use of Migration Policies to Foster Innovation","year":2020,"lang":"en","type":"article","venue":"","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"China; Government (linguistics); Public policy; Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005709433,0.0002592799,0.0002877684,0.001384638,0.01537722,0.0109191,0.001902925,0.002923682,0.01041862],"category_scores_gemma":[0.01612725,0.0001956339,0.0003762611,0.001730416,0.01302554,0.002938979,0.005998558,0.003252485,0.000439827],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03977609,"about_ca_system_score_gemma":0.1113115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8018583,"about_ca_topic_score_gemma":0.8981007,"domain_scores_codex":[0.9947942,0.001740244,0.0000727954,0.0003451401,0.0009232294,0.002124456],"domain_scores_gemma":[0.9862939,0.003697667,0.0008420443,0.0007460547,0.002738186,0.005682152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004685655,0.0006098751,0.1169282,0.0001784338,0.00009672788,0.001072266,0.2808852,0.001594278,0.002525775,0.4239587,0.03225673,0.1394252],"study_design_scores_gemma":[0.0001991456,0.00017874,0.1477983,0.0004471027,0.0002313846,0.0001753667,0.4096262,0.003228464,0.002455364,0.1193604,0.3161123,0.0001874156],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7242537,0.0004338722,0.001709752,0.03295235,0.0001619979,0.00008459156,0.0000745561,0.00006012977,0.2402691],"genre_scores_gemma":[0.9906229,0.0000920622,0.0004549517,0.001095497,0.000008995407,0.00001607886,0.00001235113,0.00001571122,0.007681475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9602239,"threshold_uncertainty_score":0.3986171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05428618233348066,"score_gpt":0.2824156044467548,"score_spread":0.2281294221132741,"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."}}