{"id":"W7098981604","doi":"","title":"2004) Chinese immigrants in Canada: Their changing composition and economic performance, CERIS Working Paper No. 30, Joint Centre of Excellence for Research on Immigration and Settlement","year":2014,"lang":"en","type":"article","venue":"","topic":"Academic Research in Diverse Fields","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Settlement (finance); Excellence; Population; Composition (language); Immigration policy; New immigrants","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002144268,0.0000769905,0.0001379584,0.0001652888,0.000322453,0.00002940511,0.0001139442,0.00006800346,0.0001194847],"category_scores_gemma":[0.00007262579,0.00006273641,0.00001456285,0.0001276827,0.0001086472,0.0001623726,0.000073854,0.0001870079,0.000003278864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004149554,"about_ca_system_score_gemma":0.0002363004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5152526,"about_ca_topic_score_gemma":0.6254494,"domain_scores_codex":[0.9987477,0.0001711412,0.0001927717,0.0002024416,0.0002849708,0.0004009932],"domain_scores_gemma":[0.9993566,0.0003467917,0.00005534743,0.00008524116,0.00007028269,0.0000857354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000372962,0.00008004207,0.8325422,0.000336471,0.00004900367,0.000002133714,0.04849911,0.001138699,0.004353749,0.007140687,0.01654572,0.08893923],"study_design_scores_gemma":[0.004859506,0.0008134174,0.5130881,0.001847286,0.00001725218,0.000002089936,0.1691792,0.2438015,0.009594107,0.002030135,0.05358982,0.001177609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923729,0.00005823757,0.00004683475,0.002426603,0.00009554457,0.0004430749,0.00001229435,0.000005407276,0.004539093],"genre_scores_gemma":[0.9985048,0.000911704,0.00008680782,0.00009034493,0.0001236984,0.00001978628,0.000005652998,0.000005120325,0.0002521526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3194541,"threshold_uncertainty_score":0.4879753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04811176293419604,"score_gpt":0.3204848130246764,"score_spread":0.2723730500904803,"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."}}