{"id":"W6976768636","doi":"10.6068/dp14ba8cdf47f33","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, Africa, 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002752156,0.002451346,0.002982012,0.00769387,0.003610021,0.004824552,0.005732986,0.001388713,0.08191971],"category_scores_gemma":[0.0185957,0.001987569,0.002550537,0.0365538,0.000680638,0.002370139,0.002558868,0.003259774,0.04296872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05839485,"about_ca_system_score_gemma":0.155513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964039,"about_ca_topic_score_gemma":0.9948648,"domain_scores_codex":[0.9951239,0.0003685531,0.0005448636,0.0005364129,0.002225227,0.001200998],"domain_scores_gemma":[0.9622397,0.001242526,0.001116058,0.0009956482,0.03243719,0.00196873],"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":[0.00003306931,0.000009648329,0.001665453,0.0002634167,0.00002772418,0.000007288006,0.00003314424,0.0001032958,0.00001090041,0.000339785,0.9956326,0.001873666],"study_design_scores_gemma":[0.0002738053,0.00002409488,0.05102907,0.001210661,0.0001130868,0.00003876514,0.0009256294,0.0006462551,0.000249126,0.0007147388,0.9446402,0.0001345905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009461706,0.00006173824,0.0000300988,0.0001675536,0.00004497077,0.00002404297,0.9985353,0.00006217216,0.0009794864],"genre_scores_gemma":[0.001301275,0.0003687217,0.0005420569,0.0002480537,0.00002815631,0.0002201323,0.9905371,0.0001414995,0.006612941],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9180803,"threshold_uncertainty_score":0.4236863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450556623297395,"score_gpt":0.2472802842179528,"score_spread":0.2227747179849788,"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."}}