{"id":"W6976589454","doi":"10.6068/dp14ba88c05e234","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Integration of Newcomers | 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, Males, Landed immigrants | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-093.","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; Official statistics; Socioeconomic status; Census; Statistics education; Population; Ethnic group; Citizenship; Economic statistics; Diversity (politics)","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":[0.002797707,0.002441376,0.0028098,0.008371305,0.003794383,0.004804091,0.005711001,0.001411319,0.07664341],"category_scores_gemma":[0.01980019,0.001883991,0.002465949,0.03712737,0.0006596938,0.002259507,0.002666207,0.00306418,0.03752689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0584316,"about_ca_system_score_gemma":0.1571435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965969,"about_ca_topic_score_gemma":0.9954883,"domain_scores_codex":[0.9952388,0.0003444388,0.0005557956,0.0005281676,0.002182825,0.001149993],"domain_scores_gemma":[0.9650528,0.00125456,0.001081609,0.001039998,0.02967903,0.001891851],"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":[0.00003091192,0.000008536834,0.001702327,0.0002967798,0.00002983102,0.000007999448,0.00003824637,0.0001106605,0.00001207174,0.0004051552,0.9951769,0.002180642],"study_design_scores_gemma":[0.0002373212,0.00002039822,0.04675798,0.001365185,0.000119939,0.00003923342,0.0008924743,0.0006651219,0.0002379125,0.0008217559,0.9487109,0.0001317617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008559154,0.00006372,0.00003186005,0.0001507879,0.00003684829,0.00002369282,0.9986589,0.00005892642,0.0008896539],"genre_scores_gemma":[0.001329327,0.0004070565,0.0006263109,0.0002293257,0.00002484207,0.0002193082,0.9917744,0.0001313668,0.005258114],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07664341,"threshold_uncertainty_score":0.4239529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03160263223425423,"score_gpt":0.262237055302067,"score_spread":0.2306344230678128,"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."}}