{"id":"W6920512154","doi":"10.6068/dp14ba8cf7fbd95","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Immigrants and Nonpermanent Residents | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, country of birth, sex and age group | Variable: 15 years and over, Africa, Labour force, Males, Immigrants, landed more than 10 years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-092.","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; Census; Socioeconomic status; Population; Official statistics; Ethnic group; Diversity (politics); Population statistics; American Community Survey","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":[0.002562734,0.002393484,0.002844513,0.007121186,0.003188533,0.004607912,0.005387784,0.00138942,0.08739331],"category_scores_gemma":[0.01891015,0.001973268,0.002318026,0.03505493,0.0005849969,0.002443473,0.002335287,0.00341275,0.04602289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04950149,"about_ca_system_score_gemma":0.137757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99426,"about_ca_topic_score_gemma":0.9918412,"domain_scores_codex":[0.995536,0.0003383196,0.0005432505,0.0005316471,0.002012209,0.001038623],"domain_scores_gemma":[0.9655175,0.001158337,0.001072601,0.0008790707,0.02963543,0.001737036],"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":[0.00003318611,0.000008870716,0.001350602,0.0002732244,0.00002482545,0.00000696139,0.00002604003,0.00009296081,0.00001022728,0.0003196036,0.9958757,0.001977882],"study_design_scores_gemma":[0.0002797719,0.00002263346,0.04659368,0.001499979,0.0001181908,0.00004076436,0.0007395907,0.0005518025,0.0002195404,0.0008286673,0.9489884,0.0001169841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00008042016,0.00006551508,0.00003066158,0.0001666013,0.00004601379,0.00002628902,0.9984934,0.00005825165,0.001032761],"genre_scores_gemma":[0.001162429,0.0004437681,0.0005707591,0.0002833377,0.00003073181,0.00023712,0.9906283,0.0001447557,0.006498799],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08739331,"threshold_uncertainty_score":0.3591601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823887393868569,"score_gpt":0.2368124913012924,"score_spread":0.2185736173626067,"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."}}