{"id":"W6938897614","doi":"10.6068/dp14ba89b0e1454","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Education, Training and Skills | 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, Total population | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-089.","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; Statistics education; Population statistics; Official 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":[0.002846784,0.002439999,0.002821801,0.00822376,0.003496628,0.005029115,0.005328375,0.001487946,0.0875694],"category_scores_gemma":[0.02154356,0.001957811,0.002385428,0.03889915,0.0006845855,0.002552618,0.002518842,0.003258998,0.04656874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05605127,"about_ca_system_score_gemma":0.1665422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954014,"about_ca_topic_score_gemma":0.9933499,"domain_scores_codex":[0.9949738,0.0003801436,0.0005831158,0.0005726844,0.002349565,0.001140751],"domain_scores_gemma":[0.9598768,0.001451415,0.001122524,0.001177177,0.03444131,0.00193088],"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":[0.00002915646,0.000007893674,0.001281207,0.000280513,0.00002562731,0.000007070737,0.00002825504,0.0001102551,0.0000114073,0.0003832232,0.9957147,0.002120554],"study_design_scores_gemma":[0.0001945441,0.00001641584,0.03098082,0.001271299,0.0001016696,0.00003370348,0.0006055896,0.000544863,0.0002053044,0.0008283366,0.9651098,0.0001076532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006449348,0.00006519978,0.0000361264,0.0001693989,0.00004245358,0.0000233143,0.998508,0.00007171722,0.001019242],"genre_scores_gemma":[0.001129463,0.0004428524,0.0007250049,0.0002735969,0.00002795163,0.0002063078,0.9914119,0.0001747823,0.005608137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0875694,"threshold_uncertainty_score":0.4066823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02490099992081049,"score_gpt":0.2595769228308785,"score_spread":0.234675922910068,"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."}}