{"id":"W6901547667","doi":"10.6068/dp14ba8ccd2fb14","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Education, Training and Skills | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 25 to 54 years, Unemployment, University degree, Males, Immigrants, landed 5 or less years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-089.","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; Ethnic group; Population; Statistics education; Official statistics; Population statistics; 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":[0.002825661,0.002542082,0.002898835,0.00864149,0.003521168,0.005182571,0.005414264,0.001524806,0.08770816],"category_scores_gemma":[0.02168525,0.002032041,0.002451064,0.04026454,0.0006864769,0.002556754,0.002587345,0.003247275,0.0467168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05659817,"about_ca_system_score_gemma":0.1662965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995707,"about_ca_topic_score_gemma":0.993793,"domain_scores_codex":[0.9947549,0.0003869975,0.0006205447,0.0005898413,0.002450615,0.001197007],"domain_scores_gemma":[0.960573,0.001459546,0.001147054,0.001137187,0.03375516,0.001928096],"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":[0.00002983851,0.000007956674,0.001207207,0.0002854196,0.00002640338,0.000007231375,0.00002759359,0.0001102212,0.00001096228,0.0003795543,0.9958977,0.002009965],"study_design_scores_gemma":[0.0002077655,0.00001730365,0.03189643,0.001262695,0.0001064388,0.000034698,0.0006172231,0.0005398695,0.0002105535,0.000791709,0.9642022,0.0001131378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006469631,0.00006772398,0.00003325352,0.0001669586,0.00004405481,0.00002277961,0.9985353,0.00006887307,0.0009963369],"genre_scores_gemma":[0.001093156,0.0004504615,0.0006363324,0.0002632303,0.0000283162,0.0001944336,0.9914008,0.0001626386,0.005770633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08770816,"threshold_uncertainty_score":0.4106504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03609232390228163,"score_gpt":0.2589686711150164,"score_spread":0.2228763472127348,"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."}}