{"id":"W6920100103","doi":"10.6068/dp14ba8c4dc3176","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: 25 to 54 years, Unemployment, High school graduate, Males, Immigrants, landed 5 or less 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002763447,0.002598884,0.0029807,0.007788146,0.003413017,0.004795222,0.005638419,0.00148995,0.09446748],"category_scores_gemma":[0.01937949,0.00210944,0.002524214,0.03743737,0.0006015947,0.0024109,0.002470919,0.003381017,0.05084813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05315303,"about_ca_system_score_gemma":0.1483754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952572,"about_ca_topic_score_gemma":0.9932557,"domain_scores_codex":[0.9950975,0.0003687544,0.0005675203,0.0005652023,0.002236025,0.001164969],"domain_scores_gemma":[0.9621034,0.001287513,0.001134295,0.001036724,0.0325695,0.001868708],"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":[0.00003394526,0.000009263354,0.00130586,0.0002703666,0.00002595141,0.000007417604,0.00002623156,0.0001032897,0.00001098032,0.0003231226,0.9958741,0.002009472],"study_design_scores_gemma":[0.0002601943,0.00002167737,0.03987177,0.001337835,0.0001080835,0.00003700874,0.0006512324,0.000582028,0.0002314569,0.0007913116,0.9559882,0.0001192135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007099576,0.00005709291,0.0000296617,0.0001447538,0.00004024799,0.00002344557,0.998571,0.000063288,0.0009994927],"genre_scores_gemma":[0.001025459,0.0003429675,0.0005409842,0.0002450654,0.00002719601,0.0002022917,0.9910438,0.0001573427,0.006414929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9055325,"threshold_uncertainty_score":0.385654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015280064466437,"score_gpt":0.258898719677605,"score_spread":0.2287459190329406,"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."}}