{"id":"W6901613617","doi":"10.6068/dp14ba8d5b8d452","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Education, Training and Skills | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Unemployment, University degree, Males, Immigrants, landed more than 10 years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-089.","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; Ethnic group; Population; Statistics education; Official statistics; Population statistics; Diversity (politics)","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":[0.002793934,0.002531433,0.002896142,0.008559208,0.003535871,0.005198625,0.005431836,0.001525047,0.08618679],"category_scores_gemma":[0.02154803,0.002025335,0.00243699,0.04014314,0.0006914572,0.002567834,0.002600101,0.003253467,0.04619933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05651299,"about_ca_system_score_gemma":0.1650981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956934,"about_ca_topic_score_gemma":0.9937908,"domain_scores_codex":[0.994802,0.0003832496,0.0006172463,0.0005866642,0.002421866,0.001188991],"domain_scores_gemma":[0.96086,0.001436903,0.001137828,0.001129415,0.03351296,0.001922814],"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":[0.00002979466,0.000007985247,0.001216547,0.0002827488,0.00002632849,0.000007292114,0.00002752572,0.0001089366,0.00001084042,0.0003765218,0.9959259,0.001979565],"study_design_scores_gemma":[0.0002079818,0.00001728012,0.03218997,0.001263786,0.0001070904,0.00003510724,0.0006270072,0.0005398503,0.0002123142,0.0007939709,0.9638923,0.0001133791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006490813,0.00006730674,0.0000326019,0.0001657922,0.000043711,0.00002244411,0.9985579,0.00006720021,0.000978205],"genre_scores_gemma":[0.001087582,0.0004422094,0.0006181933,0.0002611487,0.00002798396,0.0001902683,0.9915966,0.000157491,0.005618457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08618679,"threshold_uncertainty_score":0.4100323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02587563250767653,"score_gpt":0.2513763273278378,"score_spread":0.2255006948201613,"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."}}