{"id":"W6976387787","doi":"10.6068/dp14ba8f9c87416","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Immigrants and Nonpermanent Residents | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 25 to 54 years, Not in labour force, High school graduate, some post-secondary, Males, Immigrants, landed more than 5 to 10 years earlier | Units: , 2007-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-092.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Socioeconomic status; Population; Ethnic group; Diversity (politics); Official statistics; Population statistics; Current Population Survey","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":[0.00261075,0.002388937,0.00293917,0.007522872,0.003338703,0.004665313,0.005324536,0.00146672,0.08101609],"category_scores_gemma":[0.0181233,0.002114483,0.002432893,0.03509714,0.0006158309,0.002380461,0.002344021,0.003556054,0.04217205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05495789,"about_ca_system_score_gemma":0.1469473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957696,"about_ca_topic_score_gemma":0.9942688,"domain_scores_codex":[0.9954908,0.0003382327,0.0005570662,0.0005272934,0.002003568,0.001083119],"domain_scores_gemma":[0.9647267,0.00120732,0.001140418,0.000903172,0.03025834,0.001764022],"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":[0.00003406758,0.000009925981,0.001648846,0.0002968352,0.00002784981,0.000007733015,0.00003090154,0.00009921291,0.00001039944,0.0003035211,0.9953799,0.002150885],"study_design_scores_gemma":[0.0002953421,0.00002622035,0.05837591,0.001538667,0.0001364604,0.00004583673,0.000860951,0.0006532132,0.0002279877,0.0007259413,0.9369851,0.0001283503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001010543,0.00007766594,0.00003292059,0.0001785141,0.00004930414,0.00002820131,0.998442,0.00006252954,0.001027681],"genre_scores_gemma":[0.001354052,0.0004690736,0.0005516587,0.0002859488,0.00003116864,0.0002321882,0.9906122,0.0001364861,0.006327091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08101609,"threshold_uncertainty_score":0.3987492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661856498348351,"score_gpt":0.2339703371944505,"score_spread":0.2173517722109669,"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."}}