{"id":"W6920351747","doi":"10.6068/dp14ba8f335e873","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: 15 years and over, Unemployment rate, Post-secondary certificate or diploma, Males, Immigrants, landed 5 or less years earlier | 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; Unemployment; Ethnic group; Nationality","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":[0.00256783,0.002398513,0.002925309,0.007725695,0.003308851,0.004697258,0.005276013,0.001349881,0.0817797],"category_scores_gemma":[0.01821907,0.001973299,0.002337564,0.03569406,0.0006135968,0.002356643,0.002255077,0.003370874,0.04202528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05665816,"about_ca_system_score_gemma":0.1556848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959944,"about_ca_topic_score_gemma":0.9942175,"domain_scores_codex":[0.995491,0.0003106277,0.0005257101,0.0005353465,0.002102306,0.001035123],"domain_scores_gemma":[0.964577,0.001114552,0.001074931,0.00084913,0.03056702,0.001817406],"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":[0.00003851295,0.00001043114,0.001711208,0.0003248937,0.0000290211,0.000008107015,0.00003337862,0.0001122876,0.00001213448,0.0003336458,0.9949313,0.00245511],"study_design_scores_gemma":[0.0002775654,0.00002467371,0.05482966,0.001495851,0.0001320455,0.00004207415,0.000781965,0.000617739,0.0002381595,0.0007870248,0.9406551,0.0001181354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009918422,0.0000775831,0.00003552375,0.000171338,0.00004687768,0.00003040931,0.9982954,0.00007089647,0.001172755],"genre_scores_gemma":[0.001490812,0.0005154523,0.0006775525,0.0002925581,0.00003179117,0.0002521467,0.9889072,0.0001646454,0.007667914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0817797,"threshold_uncertainty_score":0.4110857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03982256130642289,"score_gpt":0.2683463476856212,"score_spread":0.2285237863791983,"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."}}