{"id":"W6976352774","doi":"10.6068/dp14ba8b706363","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: 25 to 54 years, Population, No degree, certificate or diploma, 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; Population; Statistics education; Ethnic group; Population statistics; Official 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":[0.002864552,0.002497901,0.002856147,0.008696639,0.00350899,0.005177306,0.005410337,0.001536863,0.08889345],"category_scores_gemma":[0.02267274,0.001993164,0.002436596,0.04053413,0.0006766987,0.002550094,0.002607046,0.003290684,0.04826071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05523698,"about_ca_system_score_gemma":0.1602706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995231,"about_ca_topic_score_gemma":0.9931732,"domain_scores_codex":[0.9947696,0.0003935586,0.0006317199,0.000604077,0.002420753,0.001180232],"domain_scores_gemma":[0.9610932,0.001517989,0.001136089,0.001185968,0.03317652,0.001890235],"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":[0.00002848277,0.00000756867,0.001174934,0.0002807452,0.00002583724,0.000006969633,0.00002763793,0.0001047142,0.0000106179,0.0003759504,0.9960038,0.001952682],"study_design_scores_gemma":[0.0002067182,0.00001628427,0.02984418,0.001263245,0.0001038667,0.0000338561,0.0006005683,0.0005172159,0.0001981847,0.0008338566,0.9662733,0.0001086632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000593352,0.00006033044,0.00003187436,0.000155338,0.0000405024,0.00002203148,0.9986445,0.00006577235,0.0009202378],"genre_scores_gemma":[0.0009530429,0.0003932697,0.0006001367,0.0002376614,0.00002571567,0.0001923211,0.9923816,0.0001523187,0.005063876],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08889345,"threshold_uncertainty_score":0.4007742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05135930794322536,"score_gpt":0.2784995296696763,"score_spread":0.227140221726451,"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."}}