{"id":"W6920121213","doi":"10.6068/dp14ba8ae06d538","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, Employment rate, Total, all education levels, Females, 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Census; Socioeconomic status; Official statistics; Population; Descriptive statistics; Ethnic group; Diversity (politics); Government (linguistics)","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":[0.002671904,0.002566724,0.002929619,0.007386161,0.003361371,0.004713246,0.005753341,0.001462485,0.0939575],"category_scores_gemma":[0.01844841,0.001923967,0.00246749,0.03528175,0.000590695,0.00238449,0.002528529,0.00334018,0.05211018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04746365,"about_ca_system_score_gemma":0.129374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939713,"about_ca_topic_score_gemma":0.9920728,"domain_scores_codex":[0.9956012,0.0003369842,0.0005070309,0.0005260828,0.00197898,0.00104974],"domain_scores_gemma":[0.9662833,0.00122672,0.001076172,0.001029505,0.02859557,0.00178872],"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":[0.00003013704,0.000008143393,0.001285346,0.0002470371,0.00002421701,0.000006912474,0.00002471218,0.00009595495,0.00001011754,0.0003064664,0.9962212,0.001739737],"study_design_scores_gemma":[0.0002606775,0.00001960728,0.03735128,0.001267522,0.00009917688,0.00003493789,0.0006109877,0.0005582372,0.0002227808,0.0007943963,0.9586665,0.0001139916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006399364,0.00004534606,0.00002606535,0.0001223067,0.00003372829,0.0000210601,0.9987925,0.00005464455,0.0008402826],"genre_scores_gemma":[0.0008261155,0.0002541927,0.0004348362,0.0001915897,0.00002209028,0.0001841722,0.9932295,0.0001222525,0.004735173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0939575,"threshold_uncertainty_score":0.3443745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818133979646138,"score_gpt":0.2679108697521781,"score_spread":0.2397295299557167,"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."}}