{"id":"W6976234015","doi":"10.6068/dp14ba8aaedaa4","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, Total, all education levels, Both sexes, Total population | 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; Economic statistics; Citizenship; 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":[0.002535778,0.002399308,0.002716201,0.00813663,0.003326697,0.004686769,0.005440712,0.001370156,0.07622992],"category_scores_gemma":[0.01890101,0.001825806,0.002187597,0.03665697,0.0006527979,0.002198748,0.002660814,0.002995865,0.04095497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0485686,"about_ca_system_score_gemma":0.1277587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948654,"about_ca_topic_score_gemma":0.9932742,"domain_scores_codex":[0.9959508,0.0003173905,0.0004866406,0.0004820514,0.001781572,0.0009814533],"domain_scores_gemma":[0.9698842,0.001269399,0.001039472,0.001019969,0.02508989,0.001697048],"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":[0.00002374879,0.000006871878,0.001286525,0.000241468,0.00002366074,0.000006585832,0.0000297451,0.0001032107,0.00000905261,0.0003362832,0.996295,0.001637913],"study_design_scores_gemma":[0.000224566,0.0000158117,0.03629777,0.001154608,0.00009208649,0.00003481968,0.0007122604,0.000635119,0.0002066762,0.0007924076,0.9597204,0.0001134252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000621442,0.00004356699,0.00002424653,0.0001129044,0.0000261628,0.00001586684,0.9990348,0.00005158888,0.0006287444],"genre_scores_gemma":[0.0008806789,0.0002608519,0.0004212867,0.0001520748,0.00001806799,0.0001602819,0.9944449,0.0001040669,0.003557837],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07622992,"threshold_uncertainty_score":0.3523914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03007071706959827,"score_gpt":0.2710315213927725,"score_spread":0.2409608043231742,"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."}}