{"id":"W6920064053","doi":"10.6068/dp14ba8a5a92d90","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, sex and detailed age group | Variable: 55 years and over, Unemployment rate, 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; Official statistics; Census; Descriptive statistics; 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":[0.002774157,0.002614448,0.003004144,0.007827538,0.003488613,0.004757448,0.005881927,0.00145556,0.09802788],"category_scores_gemma":[0.01872227,0.002077624,0.002548993,0.03691802,0.000605752,0.002409756,0.002562614,0.00334123,0.05166521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05325404,"about_ca_system_score_gemma":0.1438919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950626,"about_ca_topic_score_gemma":0.9934754,"domain_scores_codex":[0.9952015,0.000359325,0.0005474724,0.0005516451,0.002182892,0.001157155],"domain_scores_gemma":[0.9630517,0.001244801,0.001135729,0.001053271,0.03154889,0.001965548],"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":[0.00003380966,0.000008931106,0.001413,0.0002724241,0.00002625271,0.000007238529,0.00002810258,0.0000979281,0.0000110869,0.0003226437,0.9958161,0.001962556],"study_design_scores_gemma":[0.0002738601,0.00002296809,0.04490205,0.001398789,0.0001099986,0.00003737679,0.0006939782,0.0005599293,0.0002391441,0.0007986003,0.9508415,0.0001219857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007350276,0.00005291146,0.00002879246,0.0001332436,0.0000370342,0.00002481154,0.9986151,0.00005802979,0.0009765124],"genre_scores_gemma":[0.0009945894,0.0003198671,0.0005050765,0.0002214305,0.00002489172,0.0002165452,0.9916596,0.0001404371,0.00591745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09802788,"threshold_uncertainty_score":0.3863869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316350857641625,"score_gpt":0.2427850460486078,"score_spread":0.2196215374721916,"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."}}