{"id":"W6939054961","doi":"10.6068/dp14ba8cccfef12","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, No degree, certificate or diploma, Males, Born in Canada | 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; Population statistics; Nationality; Unemployment; Ethnic group","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":[0.002619847,0.002435009,0.002866222,0.007800676,0.003313493,0.004687449,0.005328487,0.001365259,0.08400313],"category_scores_gemma":[0.01861683,0.002020099,0.00233993,0.03664326,0.0006092832,0.002342866,0.002318005,0.003383997,0.04250013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05541454,"about_ca_system_score_gemma":0.1568601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995406,"about_ca_topic_score_gemma":0.9934608,"domain_scores_codex":[0.9953567,0.0003313684,0.0005574482,0.000555872,0.002127291,0.001071335],"domain_scores_gemma":[0.9639273,0.001175188,0.001102223,0.000929146,0.03105117,0.001815008],"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":[0.00003770732,0.000009962531,0.001604143,0.0003035768,0.00002858106,0.000008122577,0.00003039802,0.0001112049,0.00001245065,0.0003272252,0.9951675,0.002359144],"study_design_scores_gemma":[0.0002773291,0.00002329509,0.04971871,0.00152602,0.0001276499,0.00004165293,0.0007410627,0.0005895395,0.0002309192,0.0007843719,0.9458198,0.0001196178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009281842,0.00007319065,0.00003384981,0.000173664,0.00004833507,0.00002882863,0.9983649,0.00006711075,0.001117446],"genre_scores_gemma":[0.001379207,0.0005048035,0.0006496713,0.0002933758,0.00003216864,0.0002440187,0.9897836,0.0001621551,0.006951017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08400313,"threshold_uncertainty_score":0.4020625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04780017138605003,"score_gpt":0.2682502153306376,"score_spread":0.2204500439445876,"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."}}