{"id":"W6901616638","doi":"10.6068/dp14ba8edcce41","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Population, High school graduate, some post-secondary, Females, Immigrants, landed more than 5 to 10 years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","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; Unemployment; Census; Official statistics; Socioeconomic status; Descriptive statistics; Population; Ethnic group; 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":[0.002631745,0.002521195,0.003006407,0.007754583,0.003419393,0.004671475,0.005622411,0.001429449,0.08523056],"category_scores_gemma":[0.01803681,0.002005255,0.002520368,0.03767376,0.0006139079,0.002375527,0.002362883,0.003363445,0.04523559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05579219,"about_ca_system_score_gemma":0.151983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959816,"about_ca_topic_score_gemma":0.9945238,"domain_scores_codex":[0.9952404,0.0003367243,0.0005423998,0.000552088,0.002196773,0.00113158],"domain_scores_gemma":[0.9617111,0.001156856,0.001099628,0.0009296875,0.03324628,0.001856268],"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":[0.00003607496,0.000009842707,0.001514474,0.0002755662,0.00002812647,0.000007561881,0.0000283205,0.000106581,0.00001161738,0.0003281921,0.9955755,0.002078006],"study_design_scores_gemma":[0.0002630488,0.00002279953,0.0476696,0.001292784,0.0001186479,0.00003719293,0.0007034987,0.0006043896,0.0002393481,0.0007797558,0.948146,0.0001229617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008496212,0.00006305881,0.00003065908,0.0001583535,0.00004240191,0.00002561393,0.9984633,0.00006222005,0.001069456],"genre_scores_gemma":[0.001216331,0.0003749527,0.0005541359,0.0002720635,0.00002858953,0.0002113228,0.9904824,0.000147155,0.00671297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08523056,"threshold_uncertainty_score":0.4048025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968549903381631,"score_gpt":0.2509886319505299,"score_spread":0.2313031329167136,"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."}}