{"id":"W6958087743","doi":"10.6068/dp14ba8b433010","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, Both sexes, 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; Population; Socioeconomic status; 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":[0.002666815,0.002392401,0.002821232,0.007538492,0.003212638,0.004742617,0.00540977,0.001368197,0.09152655],"category_scores_gemma":[0.01980995,0.001998594,0.002239054,0.03552604,0.0005883671,0.00241286,0.002374423,0.003358819,0.04740664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04922452,"about_ca_system_score_gemma":0.1329878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940785,"about_ca_topic_score_gemma":0.9917692,"domain_scores_codex":[0.9956127,0.0003392452,0.0005396202,0.0005441129,0.001943745,0.001020453],"domain_scores_gemma":[0.9659407,0.001293188,0.00107956,0.0009738596,0.02897373,0.001739044],"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":[0.00003051318,0.000008218926,0.001227408,0.000258927,0.0000230043,0.000006796376,0.00002693199,0.00009122,0.00000980311,0.0003024272,0.9961254,0.001889353],"study_design_scores_gemma":[0.0002817567,0.00001995904,0.04121708,0.001456078,0.0001060287,0.00003898426,0.00067162,0.0005534934,0.0002056242,0.0008544375,0.9544822,0.0001128048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006771787,0.00005155665,0.00002847392,0.0001361608,0.00003657424,0.00002433451,0.9986965,0.00005741039,0.0009013538],"genre_scores_gemma":[0.0009522419,0.0003465769,0.0005208586,0.0002206035,0.00002514977,0.0002220947,0.9924549,0.0001374547,0.005120196],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09152655,"threshold_uncertainty_score":0.3571506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824562817815886,"score_gpt":0.2452057323142628,"score_spread":0.226960104136104,"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."}}