{"id":"W6957539666","doi":"10.6068/dp14ba8b43e095","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, Labour force, Females, Immigrants, landed more than 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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001617991,0.001116844,0.001854766,0.0003421712,0.0002229401,0.0002219098,0.001683001,0.0006996265,0.000901787],"category_scores_gemma":[0.0002643434,0.001130975,6.99404e-7,0.00103701,0.0005152358,0.0005652804,0.001318348,0.0008317418,0.00002126343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003968811,"about_ca_system_score_gemma":0.004721123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999699,"about_ca_topic_score_gemma":0.9999334,"domain_scores_codex":[0.993138,0.0007853743,0.001307844,0.001544771,0.001975802,0.001248257],"domain_scores_gemma":[0.9940311,0.0009497299,0.001459757,0.002364805,0.0002599213,0.0009346533],"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":[0.0005588951,0.0001160046,0.001493536,0.0007974901,0.0005841609,0.0002090847,0.00009417137,0.00003958579,0.00009101593,0.0001502032,0.9957713,0.00009452183],"study_design_scores_gemma":[0.001717819,0.0001942029,0.003781243,0.0001202514,0.0005755157,0.00003897323,0.001233648,0.001331494,2.192654e-7,5.753599e-7,0.9898632,0.001142869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002969643,0.006288718,0.00003011505,0.000001915392,0.000295366,0.001164217,0.9917592,0.0000775552,0.00008590703],"genre_scores_gemma":[0.0008166371,0.003090844,0.0003251645,0.00008416855,0.00006345015,0.00001702467,0.9879325,0.000374279,0.007295946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007210039,"threshold_uncertainty_score":0.999114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692220686632585,"score_gpt":0.2476227186803688,"score_spread":0.220700511814043,"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."}}