{"id":"W2268674003","doi":"","title":"Circular Migration between China and Canada: A Focus on the 'Return' Segment","year":2006,"lang":"en","type":"article","venue":"Around the globe","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Boom; Emigration; Project commissioning; Publishing; Irregular migration; Circular migration; Demographic economics; Focus (optics); Political science; Business; Development economics; Geography; Economic growth; Economics; Economic geography; Engineering; Law","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":[0.0004738857,0.0002110426,0.0002106252,0.001385855,0.006452689,0.001656508,0.0006751621,0.0005487854,0.004645617],"category_scores_gemma":[0.001056084,0.00006776702,0.0002270644,0.00301206,0.001383187,0.0007687826,0.001587725,0.0006441274,0.0001428223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02024392,"about_ca_system_score_gemma":0.03723242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9801781,"about_ca_topic_score_gemma":0.9904029,"domain_scores_codex":[0.9993973,0.00004925708,0.00001024539,0.00005063365,0.00009519268,0.0003973987],"domain_scores_gemma":[0.9991882,0.00005700601,0.00009971527,0.00002150405,0.0003168461,0.0003166561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006405879,0.0001898661,0.6943415,0.0003141572,0.00009006033,0.003160195,0.1508741,0.0005062854,0.002717981,0.01973936,0.01226642,0.1151596],"study_design_scores_gemma":[0.000008715037,0.00006301434,0.8556958,0.0001022681,0.00003266287,0.0003786699,0.1187234,0.0004401269,0.0002818166,0.0003636632,0.02387061,0.00003921256],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835633,0.00121449,0.00008735985,0.002130079,0.00002832948,0.00002201518,0.0002033562,0.000004551703,0.01274646],"genre_scores_gemma":[0.9937446,0.001102352,0.00008312472,0.0003719751,0.00001427243,0.00000898314,0.000228637,0.000005274735,0.004440896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02024392,"threshold_uncertainty_score":0.1468806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422126475026604,"score_gpt":0.2313748046420275,"score_spread":0.2171535398917615,"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."}}