{"id":"W6901578822","doi":"10.6068/dp14ba8d258db2","title":"Trend 2007 - 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, Europe, Unemployment, Males, Immigrants, landed more than 5 to 10 years earlier | Units: , 2007-2013. 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; Diversity (politics); Population statistics; 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":[0.002709291,0.00232559,0.00283108,0.007523324,0.003320524,0.004810129,0.005334869,0.001358642,0.0898047],"category_scores_gemma":[0.01934557,0.001947928,0.002298955,0.03512214,0.0006074926,0.002377645,0.002403548,0.003365932,0.04662598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05445166,"about_ca_system_score_gemma":0.1506669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951658,"about_ca_topic_score_gemma":0.9934682,"domain_scores_codex":[0.9953462,0.0003464068,0.0005466724,0.0005321156,0.002121424,0.001107172],"domain_scores_gemma":[0.9638574,0.001203059,0.001084179,0.0009140637,0.03106486,0.001876315],"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":[0.00003394617,0.00000907833,0.001432148,0.0002596378,0.00002506234,0.000007225006,0.00002945955,0.00009286869,0.00001068708,0.0003149846,0.9955912,0.002193832],"study_design_scores_gemma":[0.0002618411,0.00002199961,0.04671708,0.001401333,0.0001163347,0.0000388272,0.0007914798,0.0005495114,0.0002198297,0.0008118023,0.948952,0.000117901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009604014,0.00007257002,0.00003699635,0.0001969973,0.00005088963,0.00003155442,0.9981835,0.00007229978,0.001259146],"genre_scores_gemma":[0.00130381,0.0004675151,0.0006611814,0.0003111279,0.0000332066,0.0002656114,0.989177,0.0001722633,0.00760824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0898047,"threshold_uncertainty_score":0.3950763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234070469758326,"score_gpt":0.2505222429500628,"score_spread":0.2281815382524796,"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."}}