{"id":"W6938898931","doi":"10.6068/dp14ba8a3a9e877","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Education, Training and Skills | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Labour force, High school graduate, Males, Landed immigrants | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-089.","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; Ethnic group; Statistics education; Population; Official statistics; Population statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002779932,0.0025136,0.002880763,0.00837357,0.003575244,0.005142342,0.005520923,0.001568998,0.08774497],"category_scores_gemma":[0.02205179,0.001953799,0.002406629,0.04003371,0.0007080029,0.002583994,0.00260966,0.003299835,0.04848823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05458983,"about_ca_system_score_gemma":0.1594679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953563,"about_ca_topic_score_gemma":0.9934456,"domain_scores_codex":[0.994989,0.0003816671,0.0005904394,0.0005860723,0.002313278,0.001139501],"domain_scores_gemma":[0.9620405,0.001477855,0.001139545,0.001195127,0.03226369,0.001883459],"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":[0.00002801331,0.000007595816,0.001187977,0.0002682205,0.00002521728,0.000006837594,0.0000272096,0.0001098587,0.00001054404,0.0003624121,0.9961389,0.001827321],"study_design_scores_gemma":[0.0002039938,0.00001623301,0.02855234,0.001227074,0.00009786851,0.00003307418,0.0006132608,0.0005446998,0.0002041201,0.0008376504,0.9675592,0.0001103546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005696177,0.00005531739,0.00003015651,0.0001486018,0.00003702584,0.00001941549,0.9987632,0.00006446765,0.0008249675],"genre_scores_gemma":[0.0009618012,0.0003588941,0.0005862464,0.0002287758,0.00002438307,0.0001768537,0.9928244,0.0001504897,0.004688185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08774497,"threshold_uncertainty_score":0.3960788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249318450372221,"score_gpt":0.2583041196241155,"score_spread":0.2333722745868934,"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."}}