{"id":"W6901534431","doi":"10.6068/dp14ba7c9bc3964","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, educational attainment, sex and age group | Variable: 15 years and over, Employment rate, High school graduate, Both sexes, Born in Canada | 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); 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":[0.002524896,0.002403135,0.002853743,0.007375039,0.003319977,0.004824291,0.005330984,0.001402028,0.08880501],"category_scores_gemma":[0.01854143,0.002023737,0.002260222,0.03546113,0.0006022333,0.00237379,0.0023234,0.003355089,0.04533159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05120176,"about_ca_system_score_gemma":0.1413341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949459,"about_ca_topic_score_gemma":0.9928242,"domain_scores_codex":[0.9956186,0.0003218512,0.0005323866,0.0005496338,0.001946574,0.001030885],"domain_scores_gemma":[0.9667774,0.001172384,0.00102608,0.0009256735,0.02839497,0.001703379],"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":[0.00003492411,0.00000920603,0.001438667,0.0002768929,0.0000261214,0.000007617306,0.00002850901,0.0001012616,0.00001112904,0.0003214249,0.9956492,0.002095114],"study_design_scores_gemma":[0.0002900185,0.00002204953,0.04558658,0.001455811,0.0001201859,0.00004183575,0.0007172752,0.0005907436,0.0002248456,0.0008182116,0.9500157,0.0001167631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007791145,0.00005914108,0.0000300183,0.0001451423,0.0000402222,0.00002464617,0.9986015,0.00005904201,0.0009624221],"genre_scores_gemma":[0.001125061,0.0003984704,0.0005421684,0.0002428534,0.0000277087,0.0002115473,0.9915386,0.0001431118,0.005770441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08880501,"threshold_uncertainty_score":0.3714965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383789403148183,"score_gpt":0.2519772293264911,"score_spread":0.2281393352950093,"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."}}