{"id":"W1980648151","doi":"10.1111/j.1468-2435.2005.00324.x","title":"The Rise and Fall of Chinese Immigration to Canada: Newcomers from Hong Kong Special Administrative Region of China<sup>1</sup> and Mainland China, 1980–2000<sup>2</sup>","year":2005,"lang":"en","type":"article","venue":"International Migration","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"China; Emigration; Immigration; Mainland China; Diaspora; Population; Political science; Politics; Development economics; Geography; Demographic economics; Economy; Economic growth; Demography; Sociology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004616559,0.0001952673,0.0002410271,0.0001245684,0.0004180451,0.0001277324,0.0002566061,0.000107389,0.00006052076],"category_scores_gemma":[0.0003393861,0.0001643143,0.00006434212,0.0002018734,0.0002266222,0.0005305416,0.00004485654,0.0001375441,0.000002864666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000283113,"about_ca_system_score_gemma":0.0004625615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5722881,"about_ca_topic_score_gemma":0.9632566,"domain_scores_codex":[0.9982082,0.0001878525,0.0005698344,0.000326185,0.0004959058,0.0002119909],"domain_scores_gemma":[0.9988808,0.00025829,0.0003385008,0.0001585092,0.0002190746,0.000144804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005384735,0.0001748851,0.5725577,0.00002277515,0.0002353241,0.000005926857,0.3593944,0.008241457,0.0002045096,0.01303706,0.008173162,0.03741439],"study_design_scores_gemma":[0.001013403,0.0001699367,0.8782533,0.00008006658,0.00004760556,0.000007286258,0.02310959,0.03712376,0.0002817282,0.003399964,0.05609968,0.000413638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858019,0.0002717692,0.0005800496,0.0101784,0.0002001824,0.0004081774,0.0001186428,0.00001346327,0.002427412],"genre_scores_gemma":[0.9961642,0.0005090438,0.0003033245,0.00008557377,0.001622802,0.00002120704,0.00008003906,0.00001127631,0.001202551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3909685,"threshold_uncertainty_score":0.6700543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288203079879254,"score_gpt":0.2667327671968218,"score_spread":0.2538507363980293,"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."}}