{"id":"W6939248043","doi":"10.6068/dp14ba8d87d3a46","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: 25 to 54 years, Unemployment rate, Total, all education levels, Males, Immigrants, landed 5 or less 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Census; Official statistics; Socioeconomic status; Descriptive statistics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002677114,0.002613478,0.003023255,0.007923618,0.003332931,0.004791787,0.005713211,0.001456289,0.0861297],"category_scores_gemma":[0.01833426,0.00197809,0.002581085,0.03790309,0.0006069029,0.002326622,0.002440872,0.003355747,0.04818435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05370268,"about_ca_system_score_gemma":0.1435694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954044,"about_ca_topic_score_gemma":0.9938412,"domain_scores_codex":[0.9953519,0.0003386606,0.0005271978,0.0005492154,0.002119695,0.001113352],"domain_scores_gemma":[0.9637842,0.001170346,0.001085572,0.0009865976,0.03118131,0.001791925],"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":[0.00003430092,0.000008980876,0.001417145,0.0002756857,0.00002817738,0.000007460826,0.00002675057,0.0001063428,0.00001128276,0.0003204723,0.9957821,0.001981355],"study_design_scores_gemma":[0.0002492171,0.00002043368,0.04174691,0.001293213,0.0001117082,0.00003578117,0.0006398509,0.0005653456,0.0002230398,0.0007672772,0.9542293,0.0001179033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007276401,0.00005975634,0.00002766197,0.0001434112,0.00003853431,0.00002142325,0.9986638,0.00005813687,0.0009145137],"genre_scores_gemma":[0.001027435,0.0003425292,0.0005009896,0.0002324306,0.00002634715,0.0001890504,0.9918545,0.0001361271,0.005690548],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9138703,"threshold_uncertainty_score":0.3896421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03093034751006872,"score_gpt":0.26686602941663,"score_spread":0.2359356819065613,"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."}}