{"id":"W6901410405","doi":"10.6068/dp14ba8ca749760","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, educational attainment, sex and age group | Variable: 25 to 54 years, Unemployment rate, Total, all education levels, Females, Landed immigrants | 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; Population statistics; Diversity (politics); Unemployment","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":[0.00270651,0.00240546,0.002834569,0.007540968,0.003303495,0.004726835,0.005380956,0.001364225,0.08810811],"category_scores_gemma":[0.01878148,0.002021494,0.002328572,0.03514227,0.0005909129,0.002390906,0.002331628,0.003318417,0.04583748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05330116,"about_ca_system_score_gemma":0.1455871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951002,"about_ca_topic_score_gemma":0.9929369,"domain_scores_codex":[0.9954945,0.0003302063,0.0005514487,0.0005340669,0.002035212,0.001054588],"domain_scores_gemma":[0.9640434,0.001188323,0.001064454,0.0009227727,0.0310262,0.00175487],"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":[0.0000359335,0.000009636761,0.001451733,0.0002914259,0.00002578021,0.000007856966,0.00002918596,0.00009955564,0.00001173481,0.0003172237,0.9954228,0.002297102],"study_design_scores_gemma":[0.0002826252,0.00002293455,0.04735064,0.001516271,0.0001220756,0.0000413289,0.0007271161,0.000575321,0.000225322,0.0007898878,0.9482303,0.0001160589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000852461,0.00006944856,0.00003202695,0.0001662845,0.00004634397,0.00002838147,0.998409,0.00006418245,0.001099178],"genre_scores_gemma":[0.001226731,0.0004624861,0.0006063372,0.0002792216,0.00003062854,0.0002425135,0.9899941,0.0001582374,0.006999722],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08810811,"threshold_uncertainty_score":0.3867288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03718819928634045,"score_gpt":0.2775067149050817,"score_spread":0.2403185156187413,"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."}}