{"id":"W6901488043","doi":"10.6068/dp14ba8d87c2245","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, Females, Immigrants, landed more than 5 to 10 years earlier | 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; Census; Socioeconomic status; 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":[0.002810184,0.002531079,0.002958744,0.007966972,0.003446461,0.004677707,0.005812661,0.001407485,0.07053224],"category_scores_gemma":[0.01882785,0.002026333,0.002592272,0.03661107,0.0006859079,0.002309692,0.002587023,0.00328054,0.0382928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05694752,"about_ca_system_score_gemma":0.1519701,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965094,"about_ca_topic_score_gemma":0.9952061,"domain_scores_codex":[0.9952618,0.0003534763,0.0005351952,0.0005298565,0.002180269,0.001139432],"domain_scores_gemma":[0.9638874,0.001214091,0.001124034,0.001039648,0.03088679,0.001848171],"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":[0.00003230081,0.000009401918,0.001871127,0.0002915138,0.00003053647,0.000007736846,0.00003503823,0.0001172744,0.00001125877,0.0003285708,0.9953992,0.001866082],"study_design_scores_gemma":[0.0002846682,0.0000239895,0.05514811,0.001369296,0.0001247587,0.00004079705,0.0009364892,0.0007060061,0.0002528176,0.000738326,0.940239,0.0001358763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009037268,0.00005943182,0.00002830474,0.0001482872,0.00003865175,0.00002155569,0.9987779,0.00005674746,0.0007786835],"genre_scores_gemma":[0.001306894,0.0003468928,0.0005121414,0.0002150483,0.00002535564,0.0002034404,0.9921401,0.0001205872,0.005129597],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07053224,"threshold_uncertainty_score":0.4131851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0331105988897561,"score_gpt":0.2683502354798401,"score_spread":0.235239636590084,"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."}}