{"id":"W6938833661","doi":"10.6068/dp14ba8e4efc648","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, Not in labour force, University degree, Both sexes, 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":[0.002739538,0.002423066,0.002869934,0.008486873,0.003443361,0.004887091,0.00534395,0.00152447,0.07990456],"category_scores_gemma":[0.02154682,0.001917409,0.002382877,0.03951474,0.0006828597,0.002406443,0.002542807,0.003208352,0.04080644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05840497,"about_ca_system_score_gemma":0.1653684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995918,"about_ca_topic_score_gemma":0.9943505,"domain_scores_codex":[0.9950152,0.0003684231,0.000586145,0.0005780933,0.002297221,0.001154865],"domain_scores_gemma":[0.9625868,0.001410901,0.001170262,0.00110858,0.03178096,0.001942505],"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":[0.00003128925,0.000008068625,0.001386778,0.0002919329,0.00002806564,0.000007300805,0.00002971954,0.0001124558,0.00001127103,0.0003863799,0.9957199,0.001986991],"study_design_scores_gemma":[0.000225325,0.00001820183,0.03686118,0.001289759,0.0001140613,0.00003668895,0.0006713836,0.0005742455,0.0002180474,0.000821128,0.9590517,0.0001183167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007234026,0.0000673143,0.00003263836,0.0001685017,0.00004167166,0.00002235213,0.9986053,0.00006450443,0.0009253436],"genre_scores_gemma":[0.001212408,0.0004374617,0.0006397687,0.0002673974,0.00002774098,0.000196736,0.9916368,0.000145428,0.005436294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07990456,"threshold_uncertainty_score":0.4237597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190862794923482,"score_gpt":0.2474033237914475,"score_spread":0.2254946958422127,"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."}}