{"id":"W6901436632","doi":"10.6068/dp14ba8e8163987","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, Population, High school graduate, Females, Immigrants, landed more than 5 to 10 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; 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":[0.002570644,0.002349125,0.002835841,0.00727272,0.003293897,0.00447629,0.005206248,0.00134619,0.08186556],"category_scores_gemma":[0.0177735,0.001964047,0.002283732,0.03418265,0.000596627,0.002304719,0.002234838,0.003325007,0.04133564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0543139,"about_ca_system_score_gemma":0.1504125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958014,"about_ca_topic_score_gemma":0.9941908,"domain_scores_codex":[0.9955934,0.0003095296,0.000513399,0.0005279838,0.002021879,0.001033769],"domain_scores_gemma":[0.9655627,0.001071832,0.001022302,0.0008474663,0.02974205,0.001753554],"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":[0.00003875079,0.00001027566,0.001726823,0.0002971048,0.00002787287,0.00000796118,0.0000320601,0.0001060644,0.00001268694,0.0003283342,0.9950106,0.002401433],"study_design_scores_gemma":[0.0002882786,0.00002562333,0.05673111,0.001423224,0.0001280212,0.0000426313,0.0007871084,0.0005982026,0.0002328515,0.0007660302,0.9388576,0.0001193629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001038072,0.00007463135,0.00003595919,0.0001756819,0.00004926471,0.00003135471,0.9982563,0.0000674168,0.001205639],"genre_scores_gemma":[0.001473696,0.0004921393,0.0006780371,0.0003030424,0.00003155709,0.0002467477,0.9889984,0.0001553967,0.00762093],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08186556,"threshold_uncertainty_score":0.3940768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783563555511335,"score_gpt":0.2646327465147846,"score_spread":0.2367971109596713,"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."}}