{"id":"W6920258984","doi":"10.6068/dp14ba86d3cd799","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, country of birth, sex and age group | Variable: 15 years and over, Europe, Employment, 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; Population; Economic statistics; Ethnic group; Citizenship; Diversity (politics); Population statistics","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":[0.00289867,0.0024298,0.002836736,0.00844183,0.003850386,0.004914128,0.005876504,0.001416581,0.08103608],"category_scores_gemma":[0.02060696,0.00190148,0.002466089,0.03780384,0.0006582061,0.002313645,0.002740697,0.003095675,0.03917599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05977083,"about_ca_system_score_gemma":0.1592537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965069,"about_ca_topic_score_gemma":0.9953752,"domain_scores_codex":[0.9950635,0.0003710581,0.0005848083,0.0005381898,0.002261345,0.001181083],"domain_scores_gemma":[0.9635128,0.001315099,0.001120726,0.001058554,0.03100135,0.001991536],"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":[0.00003015989,0.000008342887,0.001587742,0.0002912793,0.00002939075,0.000007664468,0.00003820601,0.0001038637,0.0000112152,0.0004088448,0.9953218,0.002161492],"study_design_scores_gemma":[0.0002387384,0.0000201893,0.0457117,0.001398567,0.0001208344,0.00003911208,0.0009181375,0.0006284398,0.0002310041,0.00084344,0.9497158,0.0001340439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008602513,0.00006571835,0.00003236006,0.0001573638,0.00003869116,0.00002565605,0.998587,0.00006008283,0.0009471319],"genre_scores_gemma":[0.001326668,0.00042023,0.0006442261,0.0002450431,0.00002632256,0.0002420823,0.9913487,0.0001399509,0.005606859],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08103608,"threshold_uncertainty_score":0.4336697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544779527147271,"score_gpt":0.2486768788434827,"score_spread":0.22322908357201,"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."}}