{"id":"W6976508862","doi":"10.6068/dp14ba8a89c3253","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, country of birth, sex and age group | Variable: 25 to 54 years, Total population, Employment rate, Females, Born in Canada | 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; Population statistics; Ethnic group; 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":[0.002637251,0.002423869,0.002855943,0.007665678,0.003345154,0.004888366,0.005438416,0.001392392,0.08942249],"category_scores_gemma":[0.01983654,0.002009107,0.002272338,0.0362378,0.000612345,0.002404064,0.002417406,0.003351674,0.04602215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05154505,"about_ca_system_score_gemma":0.1412759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947068,"about_ca_topic_score_gemma":0.992645,"domain_scores_codex":[0.9955508,0.0003372135,0.0005394011,0.0005541575,0.001963502,0.001054955],"domain_scores_gemma":[0.9649613,0.00131142,0.001098894,0.001009328,0.0297918,0.001827308],"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":[0.00003245128,0.000008501555,0.001307978,0.0002597942,0.00002438554,0.000007145399,0.0000277081,0.00009482032,0.00001018499,0.000305852,0.9959847,0.0019367],"study_design_scores_gemma":[0.0002846699,0.00002063633,0.04267541,0.001485238,0.000112486,0.00004001017,0.0007031566,0.000571055,0.0002128692,0.0008449608,0.952932,0.0001175192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007159478,0.00005346061,0.00002901723,0.0001405774,0.00003759333,0.00002432503,0.9986797,0.00005907536,0.000904699],"genre_scores_gemma":[0.001010759,0.0003611109,0.0005251956,0.0002268313,0.00002601381,0.0002220523,0.9922955,0.0001404516,0.005192041],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08942249,"threshold_uncertainty_score":0.3739873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162351812017763,"score_gpt":0.2441309282784827,"score_spread":0.2225074101583051,"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."}}