{"id":"W6976535455","doi":"10.6068/dp14ba821ce2045","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, age group | Variable: 15 years and over, Employment, Total population | 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":"Polar Research and Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Official statistics; Census; Descriptive statistics; Population; Socioeconomic status; Ethnic group; Summary statistics; 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":[0.002532788,0.002446403,0.002790018,0.008100244,0.003583121,0.00480019,0.005308364,0.001405912,0.09087602],"category_scores_gemma":[0.01891658,0.001842795,0.002376156,0.03776771,0.0006017591,0.002303704,0.002610633,0.003126269,0.0452459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0571796,"about_ca_system_score_gemma":0.1555609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957437,"about_ca_topic_score_gemma":0.9942855,"domain_scores_codex":[0.9954215,0.000332387,0.0005277301,0.0005365352,0.002072758,0.001109139],"domain_scores_gemma":[0.9674016,0.001128362,0.0009984084,0.0009709094,0.02765208,0.001848709],"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":[0.00003031629,0.000007857461,0.001285315,0.0002746883,0.00002550812,0.000007866466,0.00002954403,0.00009976597,0.00001115417,0.0003759144,0.9956526,0.002199464],"study_design_scores_gemma":[0.0002047967,0.00001753312,0.03667339,0.001251821,0.0001006475,0.0000364692,0.0006471775,0.0005252589,0.0002060267,0.0007812281,0.9594457,0.0001100049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007468705,0.0000680217,0.00003316874,0.0001565519,0.00003864786,0.00002393739,0.9984536,0.00006543092,0.001085849],"genre_scores_gemma":[0.001173634,0.0004270608,0.0006127038,0.0002447243,0.00002567511,0.0002038704,0.991015,0.0001491178,0.006148254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09087602,"threshold_uncertainty_score":0.414869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719086416917916,"score_gpt":0.2428260881623476,"score_spread":0.2256352239931684,"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."}}