{"id":"W6957969987","doi":"10.6068/dp14ba8bb8d3a88","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Employment, Post-secondary certificate or diploma, Females, Landed immigrants | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","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; Unemployment; Official statistics; Socioeconomic status; Descriptive statistics; Census; Population; Ethnic group; Diversity (politics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001513168,0.00124273,0.001466003,0.0002305952,0.0005813584,0.0005542859,0.001157384,0.0005611149,0.0023677],"category_scores_gemma":[0.0002210978,0.001192444,3.589541e-7,0.0005270176,0.0006490592,0.0007635661,0.001969598,0.0008773688,0.00001338027],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004116102,"about_ca_system_score_gemma":0.006891882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999365,"about_ca_topic_score_gemma":0.9999232,"domain_scores_codex":[0.9931859,0.00102676,0.001081482,0.00202179,0.001397721,0.001286383],"domain_scores_gemma":[0.9938096,0.001810691,0.001077792,0.001913551,0.0001462142,0.001242115],"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":[0.0009009059,0.0001463929,0.01075306,0.0009217521,0.0006961588,0.0003430134,0.00002451544,0.000001389705,0.00002628877,0.00005369223,0.9860337,0.00009918591],"study_design_scores_gemma":[0.002543529,0.000157016,0.03020106,0.00007785313,0.0006140923,0.0001723098,0.0003833479,0.0007249603,3.000282e-8,9.942503e-7,0.9637533,0.001371545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003913426,0.01785419,0.00000262776,0.000008250719,0.0003091996,0.001183233,0.980103,0.00007941329,0.00006878358],"genre_scores_gemma":[0.00025403,0.008844972,0.0001623396,0.000263975,0.00008409093,0.00003168009,0.982336,0.0003801475,0.007642706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02228038,"threshold_uncertainty_score":0.9990525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03612773517878484,"score_gpt":0.2670789810464069,"score_spread":0.2309512458676221,"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."}}