{"id":"W6976489091","doi":"10.6068/dp14ba8c11efc76","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, Africa, Employment rate, Both sexes, Immigrants, landed 5 or less 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; 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":[],"consensus_categories":[],"category_scores_codex":[0.002821179,0.002455475,0.002842296,0.00774417,0.003536274,0.004677951,0.005809077,0.001385623,0.07955797],"category_scores_gemma":[0.01884088,0.002011391,0.002535245,0.03525655,0.0006595892,0.002317429,0.002586726,0.003273592,0.03992501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.057764,"about_ca_system_score_gemma":0.159553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963875,"about_ca_topic_score_gemma":0.9945582,"domain_scores_codex":[0.9951461,0.0003707846,0.0005447089,0.0005056385,0.002281214,0.00115149],"domain_scores_gemma":[0.9621035,0.001213177,0.001126743,0.000958506,0.03264772,0.001950403],"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":[0.00003215782,0.00001013298,0.001792491,0.0003006232,0.0000291336,0.00000793354,0.00003518918,0.0001153933,0.00001140177,0.0003843281,0.9951485,0.002132647],"study_design_scores_gemma":[0.0002766931,0.00002493974,0.05439738,0.001433767,0.0001203717,0.00004172305,0.0009821586,0.0006983086,0.0002535207,0.0007826628,0.9408537,0.0001346468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001023239,0.00006805082,0.00003290845,0.0001800629,0.00004607163,0.00002765601,0.9984193,0.00006373383,0.001059971],"genre_scores_gemma":[0.001496402,0.0004287981,0.0006359128,0.0002759016,0.00003046765,0.000254598,0.9899088,0.0001469935,0.006822046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07955797,"threshold_uncertainty_score":0.4191092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03023451235947855,"score_gpt":0.2489845646629018,"score_spread":0.2187500523034232,"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."}}