{"id":"W6939325575","doi":"10.6068/dp14ba8ca7b8a63","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Integration of Newcomers | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, country of birth, sex and age group | Variable: 25 to 54 years, Asia, Unemployment rate, 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: 075-001-093.","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; Official statistics; Socioeconomic status; Census; Economic statistics; Population; Ethnic group; Unemployment; Citizenship; 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":[0.002766552,0.002482438,0.002982778,0.007823121,0.003705429,0.004831867,0.005739056,0.001377413,0.08011118],"category_scores_gemma":[0.01854176,0.001988112,0.002577888,0.03658734,0.0006940822,0.002346425,0.002579795,0.00325006,0.04150463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06081326,"about_ca_system_score_gemma":0.1597055,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967878,"about_ca_topic_score_gemma":0.9954994,"domain_scores_codex":[0.9951221,0.0003604809,0.0005386751,0.0005350044,0.002234303,0.001209357],"domain_scores_gemma":[0.9627033,0.001221055,0.001101212,0.001001146,0.03200354,0.001969627],"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":[0.00003403203,0.00000957638,0.001752086,0.0002671726,0.00002859102,0.000007666725,0.00003608984,0.0001059757,0.00001124195,0.0003394693,0.9954667,0.001941441],"study_design_scores_gemma":[0.0002721143,0.0000240439,0.05259072,0.001221013,0.0001157129,0.00003990333,0.0009632523,0.0006461468,0.0002505279,0.0007086747,0.9430309,0.0001370599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001003017,0.00006412161,0.00003084153,0.0001707661,0.00004528563,0.00002468859,0.9985037,0.00006253482,0.0009978319],"genre_scores_gemma":[0.001401413,0.0003845323,0.000558269,0.0002529664,0.00002893069,0.0002279789,0.9901702,0.0001419896,0.006833737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08011118,"threshold_uncertainty_score":0.4412332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220724069728416,"score_gpt":0.249576685626589,"score_spread":0.2275042786537474,"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."}}