{"id":"W6976712595","doi":"10.6068/dp14ba8f7f0db21","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: 25 to 54 years, Employment rate, High school graduate, some post-secondary, Males, Immigrants, landed more than 5 to 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; Ethnic group; Official statistics; Diversity (politics); Population statistics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002632927,0.002398475,0.002946027,0.007484211,0.003326979,0.004532195,0.005460569,0.001406036,0.08320677],"category_scores_gemma":[0.01883863,0.002042853,0.002425437,0.03561839,0.0006173275,0.00240632,0.002296701,0.003448033,0.04217725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05455669,"about_ca_system_score_gemma":0.1500437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957964,"about_ca_topic_score_gemma":0.9941308,"domain_scores_codex":[0.9953798,0.0003305832,0.000555346,0.0005468074,0.002117828,0.00106965],"domain_scores_gemma":[0.9635317,0.001186515,0.001123306,0.000905657,0.03144208,0.001810723],"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":[0.00003709844,0.00001026995,0.001653878,0.0003035353,0.00002807458,0.000007607428,0.0000311631,0.0001042218,0.00001154582,0.0003168407,0.9953201,0.002175562],"study_design_scores_gemma":[0.0003045248,0.00002616568,0.05637298,0.001543059,0.0001325433,0.00004329815,0.0008438519,0.0006191964,0.0002345133,0.0007858011,0.9389669,0.0001271071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009494409,0.00007049183,0.00003250933,0.0001686772,0.0000484134,0.00002933986,0.9984268,0.00006179409,0.001067121],"genre_scores_gemma":[0.001394769,0.0004694858,0.0006203685,0.0002972573,0.00003142972,0.0002467527,0.9898101,0.0001444024,0.006985448],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9167932,"threshold_uncertainty_score":0.3958383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315842306365498,"score_gpt":0.2568451263914043,"score_spread":0.2336867033277494,"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."}}