{"id":"W6976299583","doi":"10.6068/dp14ba89ff62586","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, country of birth, sex and age group | Variable: 15 years and over, Total population, Not in labour force, Both sexes, Born in Canada | 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; Population; Economic statistics; Ethnic group; Citizenship; Diversity (politics); Foreign born","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":[0.002473928,0.00227018,0.002630982,0.007881884,0.003286018,0.004500546,0.005147077,0.001309443,0.07550149],"category_scores_gemma":[0.01908236,0.001749984,0.00217322,0.03583932,0.0006304507,0.002046593,0.00255047,0.002896416,0.03707292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0509508,"about_ca_system_score_gemma":0.131929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951671,"about_ca_topic_score_gemma":0.9935626,"domain_scores_codex":[0.9959711,0.0003260211,0.000500592,0.0004915489,0.001739027,0.0009716637],"domain_scores_gemma":[0.9694297,0.001244866,0.001033298,0.00103556,0.02549421,0.001762389],"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":[0.0000267301,0.000007123089,0.001333179,0.0002540109,0.0000256235,0.000006717707,0.00003002404,0.00009986142,0.000009625782,0.0003517378,0.9960919,0.001763516],"study_design_scores_gemma":[0.0002397954,0.00001699109,0.04033823,0.001255547,0.000105525,0.00003787339,0.0007342225,0.0005923132,0.0002108491,0.0008163729,0.9555356,0.0001165339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000677146,0.00004830478,0.00002580393,0.0001154778,0.0000277459,0.0000179908,0.998957,0.00005206427,0.0006877231],"genre_scores_gemma":[0.0009887144,0.0002924944,0.0004466603,0.0001652942,0.00001940802,0.0001813298,0.9940735,0.0001052139,0.003727535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07550149,"threshold_uncertainty_score":0.3696757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814851418725638,"score_gpt":0.2367431817411996,"score_spread":0.2185946675539432,"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."}}