{"id":"W6938973538","doi":"10.6068/dp14ba8f2c8f328","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, Unemployment rate, Post-secondary certificate or diploma, 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: 075-001-094.","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; Official statistics; Descriptive statistics; Census; Socioeconomic status; 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":[0.002693061,0.002529926,0.002984215,0.007938565,0.003418208,0.004711034,0.005635444,0.001450072,0.08838817],"category_scores_gemma":[0.01861753,0.002012494,0.002523911,0.03778055,0.0006170592,0.002386964,0.002432058,0.003385651,0.04614931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05663591,"about_ca_system_score_gemma":0.15327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960698,"about_ca_topic_score_gemma":0.994675,"domain_scores_codex":[0.9951609,0.0003447214,0.0005482652,0.0005546462,0.002243099,0.00114829],"domain_scores_gemma":[0.9614867,0.001204334,0.001098446,0.0009418252,0.03335742,0.001911192],"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":[0.00003527293,0.000009722458,0.001458458,0.000282612,0.00002750597,0.000007490741,0.00002912617,0.0001045034,0.00001134918,0.000329927,0.9956084,0.002095693],"study_design_scores_gemma":[0.0002611662,0.00002237435,0.04657252,0.001323321,0.0001174367,0.00003692507,0.0007116696,0.0005760982,0.0002309347,0.0007780746,0.9492468,0.000122602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000841728,0.00006516638,0.00003148039,0.0001593798,0.00004289915,0.00002641262,0.9984375,0.00006418227,0.001088854],"genre_scores_gemma":[0.001201997,0.0003886878,0.0005724917,0.0002780727,0.00002868561,0.0002177157,0.9902611,0.0001509703,0.006900193],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08838817,"threshold_uncertainty_score":0.4109243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248910009501848,"score_gpt":0.2584238283761965,"score_spread":0.2335328274260117,"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."}}