{"id":"W6901403416","doi":"10.6068/dp14ba8c87fce57","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Immigrants and Nonpermanent Residents | 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: 075-001-092.","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; Census; Socioeconomic status; Population; Official statistics; Ethnic group; Population statistics; Diversity (politics); American Community Survey","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":[0.002649792,0.002388995,0.002826945,0.00758881,0.00333929,0.004572677,0.005382456,0.001354062,0.0853285],"category_scores_gemma":[0.01881755,0.002009997,0.00231223,0.03617469,0.0006062744,0.002373573,0.002311683,0.003413134,0.04259223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05506247,"about_ca_system_score_gemma":0.1546853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953484,"about_ca_topic_score_gemma":0.9933913,"domain_scores_codex":[0.9953135,0.0003393487,0.0005658826,0.0005448411,0.002154186,0.001082191],"domain_scores_gemma":[0.9633742,0.001174682,0.001119096,0.0008979475,0.03160242,0.001831599],"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":[0.00003591048,0.000009723115,0.00154089,0.000285239,0.00002648383,0.000007627169,0.00002970615,0.00009966671,0.00001125923,0.0003189192,0.9953718,0.002262836],"study_design_scores_gemma":[0.0002793061,0.00002394344,0.05179202,0.001540991,0.0001261713,0.00004216083,0.0007873075,0.0005689654,0.0002283217,0.0008039696,0.9436867,0.0001200292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009645139,0.0000750567,0.00003416263,0.0001868121,0.00005042361,0.00003162955,0.9982697,0.00006444403,0.001191278],"genre_scores_gemma":[0.001433856,0.0005212481,0.0006662025,0.000325166,0.00003455712,0.0002710337,0.9888276,0.0001613031,0.007759061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0853285,"threshold_uncertainty_score":0.3995081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738253396344135,"score_gpt":0.2413495192033313,"score_spread":0.2239669852398899,"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."}}