{"id":"W6957977582","doi":"10.6068/dp14ba8e2a80f14","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, Labour force, High school graduate, 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: 075-001-089.","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; Population; Statistics education; 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":[0.002757466,0.002446167,0.002880299,0.008729657,0.003470175,0.004938751,0.005282191,0.001479641,0.07985118],"category_scores_gemma":[0.02144851,0.001943914,0.002398336,0.04059727,0.0006827703,0.002399196,0.00252003,0.003157333,0.04010822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06036154,"about_ca_system_score_gemma":0.1719363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963319,"about_ca_topic_score_gemma":0.9947968,"domain_scores_codex":[0.9948197,0.0003759436,0.0006039783,0.0005996947,0.002379231,0.001221459],"domain_scores_gemma":[0.9612957,0.001447074,0.001201347,0.001151951,0.03288569,0.002018215],"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":[0.00003276883,0.000008256609,0.001410929,0.000295905,0.00002891266,0.000007328574,0.00003079894,0.0001162826,0.00001189964,0.0004355648,0.9954451,0.002176187],"study_design_scores_gemma":[0.0002083593,0.00001884628,0.03732604,0.001255889,0.0001143333,0.00003697108,0.0006684241,0.0005774818,0.0002226221,0.0008269828,0.9586233,0.0001207625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007566434,0.00007421664,0.00003647023,0.0001759069,0.00004481476,0.00002257861,0.9984676,0.00007158244,0.001031084],"genre_scores_gemma":[0.001333221,0.000490235,0.0007231329,0.0002828218,0.000028773,0.0001943715,0.9906379,0.0001628621,0.0061467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07985118,"threshold_uncertainty_score":0.4379556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0222317565401386,"score_gpt":0.2594323814647619,"score_spread":0.2372006249246233,"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."}}