{"id":"W6957861614","doi":"10.6068/dp14ba8a59b6885","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, Unemployment rate, High school graduate, Both sexes, Landed immigrants | 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; Unemployment; Citizenship","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":[0.002513756,0.002462927,0.002773372,0.008263857,0.00344924,0.004810965,0.005523188,0.001405425,0.07522933],"category_scores_gemma":[0.01860133,0.001869187,0.002238407,0.03748534,0.0006689812,0.002225027,0.002730549,0.00297686,0.04164127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04937043,"about_ca_system_score_gemma":0.12997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952353,"about_ca_topic_score_gemma":0.9938499,"domain_scores_codex":[0.9958403,0.0003186075,0.0004889187,0.0004959836,0.001827965,0.001028347],"domain_scores_gemma":[0.9693621,0.001247767,0.001073306,0.001050206,0.0254912,0.001775415],"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":[0.00002556008,0.000007379881,0.001383151,0.0002380362,0.00002407843,0.000006828295,0.00003108626,0.0001046287,0.000009583286,0.0003302902,0.9961911,0.001648158],"study_design_scores_gemma":[0.0002225518,0.00001694418,0.03746262,0.001123309,0.00009191869,0.00003520666,0.000757407,0.0006332207,0.0002142459,0.0007554946,0.9585721,0.0001150154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006526241,0.00004301853,0.00002317301,0.0001108104,0.00002588886,0.00001540781,0.9990442,0.00005181717,0.0006203303],"genre_scores_gemma":[0.0008731976,0.000249853,0.0003947177,0.0001456165,0.00001750877,0.0001507051,0.9944761,0.0001011405,0.003591066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07522933,"threshold_uncertainty_score":0.3582092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03383231131807332,"score_gpt":0.2658322849176841,"score_spread":0.2319999735996107,"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."}}