{"id":"W6957969987","doi":"10.6068/dp14ba8bb8d3a88","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, Employment, Post-secondary certificate or diploma, Females, Landed immigrants | 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; Socioeconomic status; Descriptive statistics; Census; 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":[0.002692865,0.002553451,0.002893267,0.00771773,0.003334852,0.004880167,0.005525082,0.001465193,0.09647464],"category_scores_gemma":[0.01883953,0.001954926,0.002381332,0.03725709,0.000598389,0.002392976,0.002527963,0.00325856,0.05420903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04933768,"about_ca_system_score_gemma":0.1346932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943252,"about_ca_topic_score_gemma":0.9922651,"domain_scores_codex":[0.9954462,0.0003444659,0.0005148032,0.0005477476,0.002047713,0.001099187],"domain_scores_gemma":[0.9666068,0.001216533,0.001046479,0.0010157,0.02834342,0.001771088],"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":[0.000029169,0.0000081232,0.001132572,0.0002345037,0.00002235974,0.00000653847,0.00002394286,0.00009399056,0.000009630839,0.0003063491,0.9963691,0.001763692],"study_design_scores_gemma":[0.0002302918,0.00001842938,0.03366281,0.00115976,0.00009136372,0.00003282331,0.0005759746,0.0005203403,0.0002093737,0.000765136,0.9626284,0.00010523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000605745,0.0000464657,0.00002577726,0.0001209034,0.0000345683,0.00002021556,0.9987639,0.00005680335,0.0008706584],"genre_scores_gemma":[0.0007907588,0.0002613202,0.0004258377,0.0001909534,0.00002189894,0.0001717569,0.992952,0.000127702,0.005057642],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09647464,"threshold_uncertainty_score":0.3579716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03612773517878484,"score_gpt":0.2670789810464069,"score_spread":0.2309512458676221,"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."}}