{"id":"W6957943814","doi":"10.6068/dp14ba8e5a7ed24","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Immigrants and Nonpermanent Residents | 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, Unemployment rate, Females, Immigrants, landed more than 10 years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-092.","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; Official statistics; Ethnic group; Population statistics; Diversity (politics); Unemployment; American Community 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":[0.002606747,0.002322512,0.002764443,0.007421246,0.003350102,0.004541595,0.005214179,0.001304466,0.08252795],"category_scores_gemma":[0.01825063,0.001904616,0.002256569,0.03442964,0.0006016562,0.002327262,0.002302605,0.003304478,0.04175588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05535562,"about_ca_system_score_gemma":0.150815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956225,"about_ca_topic_score_gemma":0.993985,"domain_scores_codex":[0.9955482,0.0003206563,0.0005151772,0.0005254745,0.002043201,0.001047231],"domain_scores_gemma":[0.9648266,0.001099801,0.001052568,0.0008577597,0.03033943,0.001823791],"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":[0.0000368902,0.000009835222,0.0016394,0.0002890089,0.00002685214,0.000007960721,0.00003232143,0.0001030859,0.00001203055,0.0003216517,0.9951962,0.002324763],"study_design_scores_gemma":[0.000263507,0.00002344843,0.0534033,0.001421508,0.000121586,0.00004125226,0.0008069329,0.0005764492,0.000230174,0.000784285,0.9422085,0.0001190247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001001437,0.00007256251,0.00003508445,0.0001820332,0.0000477265,0.00003051724,0.9982706,0.00006649483,0.001194698],"genre_scores_gemma":[0.001431514,0.0004848955,0.0006702616,0.0003003499,0.00003172374,0.0002555236,0.9892237,0.0001551131,0.007446926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08252795,"threshold_uncertainty_score":0.401635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046654139795129,"score_gpt":0.2473888351218335,"score_spread":0.2269222937238822,"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."}}