{"id":"W6957689397","doi":"10.6068/dp14ba88ebfe831","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | 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, Males, Landed immigrants | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","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; Unemployment; Census; Official statistics; Socioeconomic status; Descriptive statistics; Population; Ethnic group; 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":[0.002723988,0.002578602,0.00296387,0.007698838,0.003484004,0.004765499,0.005784197,0.001451895,0.09023129],"category_scores_gemma":[0.01818556,0.002023446,0.002508604,0.03645273,0.0006020531,0.00236232,0.002540836,0.003341112,0.0478974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05205869,"about_ca_system_score_gemma":0.1414311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951035,"about_ca_topic_score_gemma":0.9935421,"domain_scores_codex":[0.9953198,0.0003425298,0.000530302,0.0005421183,0.002134663,0.001130701],"domain_scores_gemma":[0.9648693,0.001177763,0.001094962,0.001012912,0.02996435,0.001880772],"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":[0.00003397939,0.000009233997,0.001556798,0.0002706631,0.00002685595,0.000007604078,0.00002896613,0.0001020646,0.00001152479,0.0003328093,0.9955994,0.002020127],"study_design_scores_gemma":[0.0002707667,0.00002293956,0.04676191,0.00138373,0.0001102571,0.00003875431,0.0007100436,0.0005879166,0.0002427982,0.0008079492,0.9489427,0.0001201749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007744676,0.00005413331,0.00002879147,0.0001341826,0.00003712036,0.00002396991,0.9986635,0.00005582591,0.0009250115],"genre_scores_gemma":[0.001011,0.0003173341,0.0004960874,0.0002171993,0.00002451568,0.0002038259,0.9919531,0.0001297423,0.005647257],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09023129,"threshold_uncertainty_score":0.377714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072431827838705,"score_gpt":0.2479059376484452,"score_spread":0.2271816193700582,"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."}}