{"id":"W6957948559","doi":"10.6068/dp14ba8db652852","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Immigrants and Nonpermanent Residents | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 25 to 54 years, Population, University degree, Both sexes, Immigrants, landed 5 or less years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-092.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Socioeconomic status; Population; Official statistics; Ethnic group; Diversity (politics); Population statistics; American Community Survey","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":[0.002571278,0.002391089,0.002826778,0.007416829,0.003273616,0.004499258,0.005258113,0.001368807,0.08496759],"category_scores_gemma":[0.01833138,0.00198578,0.002274156,0.03534999,0.0005946593,0.002338155,0.002261623,0.003377254,0.04257128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0532748,"about_ca_system_score_gemma":0.1469976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953209,"about_ca_topic_score_gemma":0.9934766,"domain_scores_codex":[0.9955818,0.0003175847,0.0005273285,0.0005304042,0.00202144,0.001021539],"domain_scores_gemma":[0.9663164,0.001128635,0.001052812,0.0008650598,0.02895069,0.001686465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003499462,0.000009272854,0.001566845,0.0002903216,0.00002664787,0.000007507839,0.0000299944,0.0001048643,0.00001148761,0.0003270989,0.9954268,0.00216423],"study_design_scores_gemma":[0.0002823481,0.00002318649,0.05124455,0.001475099,0.0001226609,0.00004129732,0.0007625818,0.0005855558,0.0002208734,0.0008001835,0.944324,0.0001177293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008876198,0.00006838245,0.00003262896,0.0001667611,0.00004571594,0.00002766595,0.9984426,0.00005980479,0.001067714],"genre_scores_gemma":[0.001336832,0.0004767205,0.0006183534,0.0002810647,0.00003028698,0.0002394747,0.9901226,0.0001459473,0.006748637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08496759,"threshold_uncertainty_score":0.3865376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03037808175649807,"score_gpt":0.253093905656726,"score_spread":0.222715823900228,"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."}}