{"id":"W6938834338","doi":"10.6068/dp14ba8bfac2e21","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, Post-secondary certificate or diploma, Males, Born in Canada | 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; Official statistics; Socioeconomic status; Census; 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":[],"consensus_categories":[],"category_scores_codex":[0.002601773,0.00254693,0.002946573,0.007701839,0.003408712,0.004955387,0.005525433,0.001475255,0.09550724],"category_scores_gemma":[0.01836901,0.002016014,0.002391994,0.0371638,0.0006118092,0.002377698,0.00247104,0.003313884,0.05176815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05211235,"about_ca_system_score_gemma":0.1417952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948377,"about_ca_topic_score_gemma":0.9929155,"domain_scores_codex":[0.9954453,0.000336854,0.0005175634,0.0005473116,0.002054768,0.001098187],"domain_scores_gemma":[0.9656832,0.001208731,0.001032568,0.0009793225,0.02929467,0.00180153],"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":[0.00003182488,0.000008494291,0.001160645,0.0002502197,0.00002395471,0.000007009979,0.0000247952,0.00009970751,0.00001014573,0.0003058061,0.9962246,0.001852794],"study_design_scores_gemma":[0.0002455098,0.00001941545,0.03519575,0.001234371,0.0001021123,0.00003477884,0.0006072848,0.0005374827,0.000218783,0.0007723787,0.9609207,0.0001115522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006506319,0.00005130274,0.00002721264,0.0001329254,0.00003730952,0.00002144695,0.99867,0.00006027401,0.0009344168],"genre_scores_gemma":[0.0008953096,0.0003054627,0.0004718029,0.0002183196,0.00002495482,0.0001841446,0.9922356,0.0001413426,0.005523017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09550724,"threshold_uncertainty_score":0.3781033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676758728834108,"score_gpt":0.2509616048670011,"score_spread":0.22419401757866,"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."}}