{"id":"W6957741378","doi":"10.6068/dp14ba8f66a5e55","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, Labour force, High school graduate, some post-secondary, Both sexes, Immigrants, landed 5 or less years earlier | 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; Ethnic group; Official statistics; Diversity (politics); Population statistics; Place of birth","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":[0.002591348,0.002398614,0.002883678,0.007395841,0.003246183,0.004417003,0.005424115,0.00135026,0.08057788],"category_scores_gemma":[0.01776658,0.002006964,0.002357893,0.03517257,0.0006132673,0.00236277,0.002273004,0.003410722,0.03997505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05484628,"about_ca_system_score_gemma":0.1487101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99597,"about_ca_topic_score_gemma":0.9942925,"domain_scores_codex":[0.9955032,0.0003211755,0.0005330814,0.0005325493,0.002072176,0.001037772],"domain_scores_gemma":[0.9655545,0.001075331,0.001060557,0.0008454349,0.02972546,0.001738701],"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":[0.00003757587,0.00001031647,0.001707433,0.0003107931,0.000028499,0.000007750677,0.00003279464,0.000103871,0.00001181344,0.0003324087,0.9951106,0.002306236],"study_design_scores_gemma":[0.0002892615,0.0000254467,0.05730272,0.001484576,0.0001305534,0.00004236202,0.0008369866,0.0006066284,0.0002302198,0.0007512115,0.938179,0.0001211258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001017447,0.00007869826,0.00003422171,0.0001769919,0.00004979737,0.00003007561,0.9983589,0.00006146552,0.00110797],"genre_scores_gemma":[0.001507573,0.0005158478,0.0006333583,0.000302501,0.0000321093,0.0002501845,0.9890116,0.0001423384,0.007604469],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08057788,"threshold_uncertainty_score":0.3979395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333869707359675,"score_gpt":0.2531187055427947,"score_spread":0.2297800084691979,"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."}}