{"id":"W4327945779","doi":"10.1007/s11113-023-09758-2","title":"Income Differences of Chinese Sub-ethnic Groups in Canada","year":2023,"lang":"en","type":"article","venue":"Population Research and Policy Review","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ethnic group; Census; Geography; Cultural diversity; Gender studies; Diversity (politics); China; Sociology; Demographic economics; Demography; Population; Anthropology; Economics","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":[0.001492559,0.0003298042,0.0007469431,0.003175597,0.001830414,0.001502437,0.0008525906,0.0004094345,0.00248269],"category_scores_gemma":[0.002582581,0.0001813002,0.0009062069,0.01164972,0.0007557739,0.0004061702,0.0006123874,0.0008123032,0.0001139688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02576745,"about_ca_system_score_gemma":0.06853729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9872979,"about_ca_topic_score_gemma":0.9932837,"domain_scores_codex":[0.9993072,0.00007660958,0.00007636638,0.00005864776,0.0002288246,0.0002523993],"domain_scores_gemma":[0.9981896,0.0002372255,0.0003059092,0.00002903207,0.0008771134,0.0003610768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002046883,0.0002812909,0.5727857,0.01059136,0.002716704,0.0005383263,0.005567447,0.0009756777,0.0007071572,0.008255856,0.03688093,0.3586526],"study_design_scores_gemma":[0.0000852949,0.00007757159,0.9661753,0.002682023,0.001061577,0.00008990245,0.004428343,0.0002062339,0.000180477,0.0004622618,0.02449648,0.00005468941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4924658,0.4797142,0.0001241928,0.008786479,0.0005223907,0.00007067552,0.006288148,0.0000137425,0.01201433],"genre_scores_gemma":[0.7042831,0.288978,0.0002742117,0.001630089,0.0001640585,0.00005580131,0.00226399,0.000008950785,0.002341806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02576745,"threshold_uncertainty_score":0.1869568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1548322012744061,"score_gpt":0.4633245594862642,"score_spread":0.3084923582118582,"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."}}