{"id":"W6901532569","doi":"10.6068/dp14ba8efe8d317","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Integration of Newcomers | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Participation rate, High school graduate, some post-secondary, Males, Immigrants, landed more than 10 years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-093.","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; Official statistics; Socioeconomic status; Census; Statistics education; Population; Ethnic group; Citizenship; Economic 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":[0.002823326,0.002577484,0.003046482,0.007739577,0.003450259,0.00453732,0.005864216,0.001414924,0.07403845],"category_scores_gemma":[0.0183827,0.00207981,0.002651913,0.03634077,0.0006525596,0.002313616,0.002507764,0.003466081,0.03803574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05352939,"about_ca_system_score_gemma":0.1417423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960503,"about_ca_topic_score_gemma":0.9945645,"domain_scores_codex":[0.9953619,0.0003425145,0.0005517142,0.0005195295,0.002093335,0.001131045],"domain_scores_gemma":[0.963149,0.001147231,0.001112791,0.0009664765,0.03179518,0.001829299],"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":[0.00003669455,0.00001075148,0.002015494,0.0003117196,0.0000321467,0.000007911188,0.00003513517,0.000111598,0.00001206145,0.0003026109,0.9951356,0.001988288],"study_design_scores_gemma":[0.0003379341,0.00002783437,0.06809705,0.001515351,0.0001430539,0.00004357706,0.0009986493,0.0007061252,0.0002632797,0.0007801322,0.9269432,0.0001437862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009537347,0.0000588401,0.00002813197,0.0001454356,0.00004223939,0.00002463162,0.9987701,0.00005232977,0.0007830248],"genre_scores_gemma":[0.001269834,0.0003463589,0.0004824813,0.0002222253,0.00002700441,0.0002281962,0.9920077,0.0001155262,0.005300555],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07403845,"threshold_uncertainty_score":0.3883846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910811156418148,"score_gpt":0.2650372011055659,"score_spread":0.2359290895413844,"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."}}