{"id":"W6976516920","doi":"10.6068/dp14ba8ad4f6961","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, Asia, Population, Males, Immigrants, landed more than 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; Socioeconomic status; Census; Economic statistics; Population; 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":[0.00257204,0.002350288,0.002710745,0.007866414,0.003361367,0.00448388,0.00554178,0.001386185,0.07873955],"category_scores_gemma":[0.01996143,0.001817201,0.002340046,0.03599411,0.0006338258,0.002091577,0.002600331,0.003018094,0.0389634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05112873,"about_ca_system_score_gemma":0.1309426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948623,"about_ca_topic_score_gemma":0.9932165,"domain_scores_codex":[0.9957748,0.0003551487,0.00053246,0.0004909365,0.001845519,0.001001148],"domain_scores_gemma":[0.9676024,0.001336751,0.001047131,0.001078205,0.02717858,0.001756973],"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":[0.00002538762,0.000006996827,0.001180846,0.000255083,0.00002449233,0.000006792211,0.0000282882,0.0001002084,0.000008880224,0.0003535533,0.9963319,0.001677672],"study_design_scores_gemma":[0.000236545,0.00001663206,0.0356999,0.001290749,0.0001037918,0.00003764996,0.0007184068,0.0005954573,0.000198543,0.0008524627,0.9601354,0.0001144483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006224919,0.00005035394,0.00002514291,0.0001213895,0.00002951049,0.00001820621,0.998948,0.00005001281,0.0006951469],"genre_scores_gemma":[0.0009362752,0.0002955393,0.0004471166,0.0001642646,0.00001969442,0.0001828421,0.9941059,0.0001042577,0.003744046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07873955,"threshold_uncertainty_score":0.3709666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063025341209191,"score_gpt":0.2443259450530595,"score_spread":0.2236956916409676,"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."}}