{"id":"W6901715470","doi":"10.6068/dp14ba8a0ac0b62","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, Both sexes, Born in Canada | 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; Population statistics; Official 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":[0.002731054,0.002456855,0.002902131,0.008338609,0.003701994,0.005337162,0.005452219,0.001555029,0.08832946],"category_scores_gemma":[0.02195029,0.001959075,0.002368516,0.04017491,0.0007227141,0.002552233,0.002586019,0.00325601,0.04751239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05817257,"about_ca_system_score_gemma":0.1700165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957247,"about_ca_topic_score_gemma":0.994121,"domain_scores_codex":[0.9949478,0.0003812151,0.0005932302,0.0005924215,0.002347955,0.001137292],"domain_scores_gemma":[0.9602842,0.001512863,0.001162676,0.001218782,0.03383436,0.001987024],"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":[0.00002874065,0.000007446447,0.001237688,0.0002750544,0.00002642267,0.000007022395,0.00002888554,0.0001116982,0.00001109483,0.0003833669,0.9960046,0.001877964],"study_design_scores_gemma":[0.0002027199,0.00001552273,0.02925358,0.001226184,0.000101985,0.00003302398,0.000624527,0.0005438087,0.0002065417,0.0008407798,0.9668393,0.0001119914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000600996,0.00005899278,0.0000323795,0.0001571664,0.0000390049,0.00002087008,0.9986628,0.00006734143,0.0009012963],"genre_scores_gemma":[0.001059513,0.0003946032,0.0006329247,0.0002485533,0.00002595761,0.0001883761,0.9923977,0.0001630632,0.004889298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08832946,"threshold_uncertainty_score":0.4220735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438579871794554,"score_gpt":0.2452782421586771,"score_spread":0.2208924434407316,"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."}}