{"id":"W6919967714","doi":"10.6068/dp14ba8e6fb0b68","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Education, Training and Learning - Educational Attainment | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 25 to 54 years, Unemployment rate, Total, all education levels, Both sexes, Immigrants, landed more than 5 to 10 years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-070.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Educational attainment; Census; Statistics education; Official statistics; Immigration; Socioeconomic status; Unemployment; Economic statistics","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":[0.00270081,0.002445479,0.002823461,0.008400075,0.003327013,0.004745143,0.005230635,0.001481813,0.09054822],"category_scores_gemma":[0.02047957,0.001875268,0.002330407,0.04086668,0.000663224,0.002488031,0.002365947,0.003239019,0.04982202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05561849,"about_ca_system_score_gemma":0.1636428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956335,"about_ca_topic_score_gemma":0.9937389,"domain_scores_codex":[0.9949691,0.0003831454,0.0005845694,0.0005816853,0.002346196,0.001135322],"domain_scores_gemma":[0.9600025,0.001392501,0.001084045,0.001066756,0.03457471,0.001879329],"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":[0.00002939745,0.000007416998,0.001035617,0.0002956215,0.00002478461,0.000006822162,0.0000251467,0.0001053926,0.00001124966,0.000372876,0.9959894,0.002096298],"study_design_scores_gemma":[0.0001791339,0.00001608056,0.027726,0.001083023,0.00009373062,0.00003191214,0.0005299143,0.0004722727,0.0001832975,0.0007080191,0.9688765,0.000100169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006386144,0.00007941647,0.00003755929,0.0001885581,0.00005116429,0.00002430977,0.9982427,0.00007910753,0.001233206],"genre_scores_gemma":[0.001173232,0.0005169962,0.0007297834,0.0003145293,0.0000322388,0.0002001828,0.9901184,0.0001859477,0.006728744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09054822,"threshold_uncertainty_score":0.4035423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426565114805232,"score_gpt":0.2720409277049493,"score_spread":0.2477752765568969,"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."}}