{"id":"W6938853621","doi":"10.6068/dp14ba8d43a050","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, Post-secondary certificate or diploma, Females, Landed immigrants | 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":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Socioeconomic status; Population; Official statistics; Population statistics; Ethnic group; Diversity (politics); Nationality","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":[0.00278058,0.002411978,0.002892551,0.007617579,0.003430122,0.004754498,0.005422557,0.00139382,0.08749682],"category_scores_gemma":[0.01955958,0.002059417,0.002354497,0.03597146,0.0006104579,0.002401409,0.002350658,0.00344302,0.04475889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05580346,"about_ca_system_score_gemma":0.1554694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953276,"about_ca_topic_score_gemma":0.9932974,"domain_scores_codex":[0.9951912,0.0003502845,0.000581224,0.000569453,0.002214806,0.001092991],"domain_scores_gemma":[0.9628485,0.001223694,0.001096347,0.0009397649,0.03207789,0.00181363],"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":[0.00003516472,0.000009718042,0.001500434,0.0002904163,0.00002588553,0.000007754137,0.00003005645,0.0001014744,0.00001144685,0.0003260673,0.9953972,0.002264396],"study_design_scores_gemma":[0.0002776939,0.00002319924,0.04827497,0.001540175,0.0001223795,0.00004055804,0.0007557701,0.0005679734,0.0002202544,0.0008038535,0.9472573,0.0001158577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008957955,0.00007234744,0.00003372249,0.0001779174,0.00004944081,0.0000305236,0.9983102,0.00006327618,0.001172984],"genre_scores_gemma":[0.001319212,0.0004894519,0.0006429074,0.0003018701,0.00003233898,0.0002614213,0.9892379,0.0001601835,0.007554743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08749682,"threshold_uncertainty_score":0.4048843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06078255624822729,"score_gpt":0.3340833411220444,"score_spread":0.273300784873817,"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."}}