{"id":"W2329268949","doi":"10.5509/2008812217","title":"Immigration from China to Canada in the Age of Globalization: Issues of Brain Gain and Brain Loss","year":2008,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Immigration; China; Globalization; Political science; Demographic economics; Development economics; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005166376,0.00006588265,0.0001412605,0.00003601482,0.0001504206,0.00001380633,0.0001434302,0.00004506268,0.00007212022],"category_scores_gemma":[0.000218237,0.00005691177,0.00002054024,0.0002897334,0.0001611606,0.00008745442,0.00001240432,0.00003781532,0.000001284249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005527563,"about_ca_system_score_gemma":0.0001942616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8251683,"about_ca_topic_score_gemma":0.9822519,"domain_scores_codex":[0.9990715,0.000218428,0.0002249002,0.0001374203,0.0002216975,0.0001260204],"domain_scores_gemma":[0.9995425,0.0001698875,0.00008241494,0.0001293858,0.00003555117,0.0000402763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001924707,0.00005380754,0.1376319,0.00001730346,0.00001335909,0.00001026421,0.7938775,0.0001792961,0.0002088526,0.009385469,0.05784227,0.0007607602],"study_design_scores_gemma":[0.0002843989,0.00005147306,0.2367525,0.00003474284,0.000006540896,0.000001357005,0.725607,0.0001431601,0.0003773076,0.00272881,0.03381727,0.0001954071],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9171552,0.0003534836,0.0006668931,0.01314602,0.0001173305,0.0003296325,0.00006319963,0.00001067305,0.06815758],"genre_scores_gemma":[0.9989253,0.0001304927,0.000099923,0.00007455829,0.0000789835,0.0000060433,0.0000325964,0.000003222711,0.0006488911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1570836,"threshold_uncertainty_score":0.2320795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251018052339113,"score_gpt":0.2531126627578639,"score_spread":0.2406024822344728,"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."}}