{"id":"W6939151634","doi":"10.6068/dp14ba8ecebb45","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, educational attainment, sex and age group | Variable: 15 years and over, Unemployment rate, No degree, certificate or diploma, Females, Immigrants, landed more than 5 to 10 years earlier | 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":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Official statistics; Descriptive statistics; Census; Socioeconomic status; Population; Ethnic group; 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":[0.002663802,0.002518873,0.00298873,0.007873056,0.003411389,0.004704426,0.005645441,0.00141828,0.08759082],"category_scores_gemma":[0.01834342,0.001990559,0.002509156,0.03789264,0.0006094101,0.002378883,0.002392813,0.003370485,0.04607128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05644116,"about_ca_system_score_gemma":0.1515752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958924,"about_ca_topic_score_gemma":0.9944087,"domain_scores_codex":[0.9951966,0.0003417673,0.0005447049,0.000554977,0.002223447,0.001138524],"domain_scores_gemma":[0.961294,0.001185573,0.001109196,0.0009445063,0.03356826,0.001898477],"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":[0.00003576675,0.000009738851,0.001461867,0.0002760033,0.00002773245,0.000007476827,0.00002837587,0.0001045121,0.00001152467,0.0003263616,0.9956468,0.00206388],"study_design_scores_gemma":[0.0002632637,0.00002252573,0.04699494,0.001288868,0.0001184319,0.00003657951,0.0006961436,0.0005909249,0.0002379617,0.0007823487,0.9488457,0.0001222397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008339505,0.00006199203,0.00003030326,0.0001557246,0.0000415693,0.00002565572,0.9984749,0.00006256166,0.001063872],"genre_scores_gemma":[0.001171395,0.0003637771,0.0005410368,0.0002622383,0.00002798948,0.000211169,0.9907098,0.0001460743,0.006566526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08759082,"threshold_uncertainty_score":0.4095112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03763573640680209,"score_gpt":0.25089177319789,"score_spread":0.2132560367910879,"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."}}