{"id":"W6957793765","doi":"10.6068/dp14ba8e8072b80","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: 15 years and over, Population, University degree, Both sexes, Immigrants, landed more than 5 to 10 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":[0.002588936,0.002324826,0.002834889,0.007268205,0.003289551,0.004487503,0.005223068,0.001352104,0.08380532],"category_scores_gemma":[0.01790889,0.001969969,0.002270422,0.03408777,0.0005936188,0.002302234,0.002236585,0.003331597,0.04139375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05483115,"about_ca_system_score_gemma":0.1502922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957719,"about_ca_topic_score_gemma":0.9941606,"domain_scores_codex":[0.9955844,0.0003139311,0.0005209151,0.0005273722,0.002029906,0.001023475],"domain_scores_gemma":[0.9654794,0.001091209,0.00102571,0.0008421192,0.02980202,0.001759582],"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":[0.00003858682,0.00001027291,0.001707369,0.0003029022,0.00002812809,0.000007888917,0.00003253032,0.000105148,0.0000126165,0.0003311896,0.995019,0.002404455],"study_design_scores_gemma":[0.0002969234,0.00002565215,0.05717703,0.001442184,0.0001301727,0.00004282338,0.0007917712,0.0005988127,0.0002300833,0.0007831996,0.9383606,0.0001207051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001034063,0.00007462048,0.00003626882,0.0001756969,0.00004930048,0.00003247435,0.9982498,0.00006688815,0.001211459],"genre_scores_gemma":[0.00147592,0.000495473,0.0006851143,0.0003083626,0.00003191684,0.0002552031,0.9889966,0.000155612,0.007595735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08380532,"threshold_uncertainty_score":0.3978297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200808139431188,"score_gpt":0.2484418678017884,"score_spread":0.2264337864074766,"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."}}