{"id":"W6920505187","doi":"10.6068/dp14ba8d2dbfe56","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, Unemployment, High school graduate, some post-secondary, Both sexes, Born in Canada | 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; Ethnic group; Statistics education; Population; 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":[0.002714721,0.002568163,0.002932194,0.008516975,0.003588713,0.00527744,0.005437532,0.001552704,0.08326588],"category_scores_gemma":[0.02157194,0.002011224,0.00242932,0.04076999,0.0007115443,0.002546054,0.002604534,0.003278165,0.04591003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05646958,"about_ca_system_score_gemma":0.1672585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957118,"about_ca_topic_score_gemma":0.9937656,"domain_scores_codex":[0.9949131,0.0003822656,0.0005983019,0.0006006504,0.002332113,0.001173561],"domain_scores_gemma":[0.9621105,0.001432545,0.001114602,0.001166623,0.03230107,0.001874626],"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":[0.00002867632,0.000007520939,0.001174057,0.0002741487,0.00002650827,0.000007197297,0.00002695358,0.0001130919,0.00001070161,0.0003774846,0.9960288,0.001924852],"study_design_scores_gemma":[0.0001967458,0.00001542632,0.02869993,0.001224722,0.0001028697,0.00003401349,0.0005912208,0.0005254451,0.0002065405,0.0007927042,0.967499,0.0001113871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006080736,0.00006627592,0.00003236784,0.0001610613,0.0000425077,0.0000203808,0.998606,0.00006825563,0.0009423532],"genre_scores_gemma":[0.001066895,0.0004356118,0.0006195796,0.0002560924,0.0000271497,0.0001815927,0.9920974,0.0001603461,0.005155316],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08326588,"threshold_uncertainty_score":0.4097174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02100640070258935,"score_gpt":0.2500047338451266,"score_spread":0.2289983331425373,"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."}}