{"id":"W6976827794","doi":"10.6068/dp14ba86d42a11","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, country of birth, sex and age group | Variable: 25 to 54 years, Africa, Participation rate, Females, Total population | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","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; Unemployment; Official statistics; Census; Population; Socioeconomic status; Descriptive statistics; Ethnic group; Summary 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":[0.002566757,0.002434823,0.00289838,0.007408549,0.00329222,0.004705205,0.005473421,0.001408936,0.09560284],"category_scores_gemma":[0.01856915,0.001919291,0.002442598,0.03519395,0.0005671289,0.002353755,0.002489971,0.003258639,0.04939055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0469698,"about_ca_system_score_gemma":0.1300289,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936232,"about_ca_topic_score_gemma":0.9916871,"domain_scores_codex":[0.9956192,0.0003447374,0.0005201573,0.0004981263,0.001957344,0.001060254],"domain_scores_gemma":[0.9662617,0.001176052,0.001048881,0.0009318027,0.02878776,0.001793743],"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":[0.00003225094,0.00000899156,0.001336425,0.0002654309,0.00002534746,0.000007391771,0.00002548981,0.00009427537,0.00001030866,0.000311041,0.9959841,0.001898942],"study_design_scores_gemma":[0.000276044,0.00002188434,0.04298234,0.001412436,0.0001122495,0.00003902146,0.0006648914,0.0005804814,0.0002367515,0.0008521957,0.9527017,0.0001199878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007132017,0.00005075317,0.0000280549,0.0001368674,0.00003697424,0.00002406274,0.9986638,0.00005820877,0.0009298919],"genre_scores_gemma":[0.000946874,0.0003082525,0.0005026815,0.0002162349,0.0000251883,0.0002099899,0.9923823,0.0001361644,0.005272277],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09560284,"threshold_uncertainty_score":0.3407913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515171779725534,"score_gpt":0.2501053906902815,"score_spread":0.2249536728930262,"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."}}