{"id":"W6957410423","doi":"10.6068/dp14ba869585441","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: 15 years and over, Europe, Employment rate, Males, Total population | 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; Population; Economic statistics; Ethnic group; Citizenship; Diversity (politics); Population statistics","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":[0.002858794,0.002421961,0.002791827,0.008280486,0.003740682,0.004929286,0.005696571,0.001384332,0.08185659],"category_scores_gemma":[0.02000907,0.001880217,0.002463435,0.03735576,0.0006480773,0.002328675,0.002682752,0.00307596,0.04082837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05614599,"about_ca_system_score_gemma":0.1547304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960765,"about_ca_topic_score_gemma":0.9946635,"domain_scores_codex":[0.9952856,0.000362798,0.0005536146,0.0005173096,0.002135499,0.001145207],"domain_scores_gemma":[0.9644598,0.001282934,0.001045564,0.001041258,0.03027879,0.001891652],"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":[0.00002863111,0.000007908308,0.001465937,0.0002899822,0.00002766303,0.000007420727,0.00003586823,0.00009876579,0.00001057683,0.0003797306,0.9955165,0.002131114],"study_design_scores_gemma":[0.000223874,0.00001890066,0.04278956,0.001395901,0.0001157916,0.00003837514,0.0008557662,0.0005930307,0.0002236675,0.000800259,0.9528168,0.00012802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007850188,0.00006423129,0.00003114482,0.000152208,0.00003747768,0.00002426475,0.9985961,0.00006221201,0.0009536765],"genre_scores_gemma":[0.001253278,0.0004221464,0.000637182,0.0002400567,0.0000259599,0.0002393294,0.9915119,0.0001456518,0.005524423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9181434,"threshold_uncertainty_score":0.4073696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438052639838342,"score_gpt":0.2457643068424034,"score_spread":0.22138378044402,"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."}}