{"id":"W6919990591","doi":"10.6068/dp14ba8cb3a8443","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, Employment rate, Total, all education levels, Females, Total population | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-092.","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; Ethnic group; Population statistics; Diversity (politics); American Community Survey","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":[0.002617218,0.002381314,0.002791632,0.00737008,0.003236954,0.004754591,0.005319888,0.001364971,0.08979741],"category_scores_gemma":[0.01880028,0.001977822,0.002237276,0.03507519,0.000587199,0.002385954,0.002298628,0.003336874,0.04648058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05060275,"about_ca_system_score_gemma":0.1375185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946178,"about_ca_topic_score_gemma":0.9923308,"domain_scores_codex":[0.9956225,0.0003276478,0.0005304783,0.0005353636,0.00196388,0.001020106],"domain_scores_gemma":[0.9661135,0.001186425,0.001028958,0.0009155242,0.029071,0.001684579],"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":[0.00003259304,0.0000088572,0.001333626,0.0002717896,0.00002412272,0.000007258292,0.00002722045,0.00009583226,0.00001065679,0.0003118813,0.9958121,0.002064032],"study_design_scores_gemma":[0.0002778401,0.00002092808,0.04342281,0.001429263,0.0001125997,0.00003961908,0.0006793081,0.0005761157,0.0002173158,0.0008145892,0.9522979,0.0001116919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007515615,0.00005877773,0.00002971634,0.0001489617,0.00004068472,0.00002520846,0.9985662,0.00006024424,0.0009950758],"genre_scores_gemma":[0.001081797,0.0003928037,0.0005557265,0.0002466684,0.0000279957,0.0002176338,0.9914024,0.0001469948,0.005928004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08979741,"threshold_uncertainty_score":0.3671504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03364350618339317,"score_gpt":0.2757868756655031,"score_spread":0.24214336948211,"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."}}