{"id":"W6938750576","doi":"10.6068/dp14ba8aae84e2","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Immigrants and Nonpermanent Residents | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 25 to 54 years, Labour force, University degree, Females, Landed immigrants | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-092.","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; Population; Official statistics; Ethnic group; Diversity (politics); Population statistics; American Community Survey","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":[0.0026155,0.002446216,0.002942274,0.007605607,0.003366627,0.0048983,0.005489173,0.001417504,0.08920394],"category_scores_gemma":[0.01931092,0.002038472,0.002291498,0.0363641,0.0006014419,0.00240669,0.002415343,0.003329949,0.04685938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04999111,"about_ca_system_score_gemma":0.1343203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946556,"about_ca_topic_score_gemma":0.9924634,"domain_scores_codex":[0.9955792,0.0003299555,0.0005390129,0.0005494576,0.001947984,0.001054398],"domain_scores_gemma":[0.9669454,0.001221501,0.001067246,0.0009666635,0.02806772,0.001731396],"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":[0.0000325604,0.000008676519,0.001412644,0.0002612817,0.00002438845,0.000007331839,0.00002972004,0.00009619602,0.0000102939,0.0003114626,0.9958735,0.001932009],"study_design_scores_gemma":[0.0002888839,0.00002150215,0.0442563,0.001436139,0.0001116106,0.00004049587,0.0007394105,0.0005829396,0.0002135798,0.0008383697,0.9513562,0.0001144699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007301367,0.00005213222,0.00002799734,0.000134875,0.0000367916,0.00002366014,0.9987243,0.00005660993,0.0008706832],"genre_scores_gemma":[0.001023267,0.0003529504,0.0004977791,0.0002167497,0.0000256696,0.0002132909,0.992228,0.0001346436,0.005307691],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08920394,"threshold_uncertainty_score":0.3627126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03031885295461494,"score_gpt":0.2530213180155653,"score_spread":0.2227024650609503,"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."}}