{"id":"W6976891562","doi":"10.6068/dp14ba8c7641436","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: 25 to 54 years, Population, University degree, Both sexes, Immigrants, landed 5 or less 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":"Classical Antiquity Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Socioeconomic status; Official statistics; Census; Statistics education; Population; Economic statistics; Ethnic group; 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":[0.002644221,0.00235583,0.00278497,0.008092348,0.003467891,0.004647156,0.005376405,0.001326955,0.08032963],"category_scores_gemma":[0.01825996,0.001884876,0.002405735,0.03664884,0.0006344356,0.002106714,0.002440129,0.002981777,0.03825627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05676925,"about_ca_system_score_gemma":0.1547199,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965079,"about_ca_topic_score_gemma":0.9952323,"domain_scores_codex":[0.9955142,0.0003308464,0.0005371868,0.0004952942,0.00205783,0.001064608],"domain_scores_gemma":[0.966875,0.001187842,0.001031187,0.0009492111,0.0281703,0.00178645],"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":[0.00003149218,0.000008934711,0.001695452,0.0002865532,0.00002877959,0.000007696029,0.00003617982,0.0001103465,0.00001138817,0.0003654733,0.9952961,0.002121645],"study_design_scores_gemma":[0.0002583682,0.00002163162,0.04978668,0.001319579,0.0001199565,0.00004017364,0.0008869435,0.0006921974,0.0002412389,0.0007779405,0.9457304,0.0001248345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009433957,0.00006120636,0.00003052621,0.0001478791,0.00003664893,0.00002309896,0.9986051,0.00006065966,0.000940679],"genre_scores_gemma":[0.001354536,0.0003754202,0.0005522732,0.0002137412,0.0000253265,0.0002065482,0.9914528,0.0001318571,0.005687494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08032963,"threshold_uncertainty_score":0.4118917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04520909784535074,"score_gpt":0.2783089688859046,"score_spread":0.2330998710405538,"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."}}