{"id":"W6976359285","doi":"10.6068/dp14ba8d9860152","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: 25 to 54 years, Latin America, Population, Both sexes, 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":[0.002626157,0.002322408,0.002792824,0.00742106,0.003266973,0.004536452,0.005288375,0.00135601,0.088634],"category_scores_gemma":[0.01885942,0.001941376,0.002268383,0.03472846,0.0005844401,0.002386192,0.00230178,0.003382754,0.04478266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05187063,"about_ca_system_score_gemma":0.1461004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947465,"about_ca_topic_score_gemma":0.9927456,"domain_scores_codex":[0.9954686,0.0003380633,0.000538484,0.0005305631,0.002073869,0.001050357],"domain_scores_gemma":[0.9643292,0.001176786,0.001084605,0.0008736689,0.03071949,0.001816228],"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":[0.00003512193,0.000009674885,0.001511163,0.0002804653,0.00002557452,0.000007416364,0.00002969322,0.00009855055,0.00001098152,0.0003285313,0.9954361,0.002226646],"study_design_scores_gemma":[0.0002701355,0.00002301558,0.04936533,0.00143511,0.0001170675,0.00004088538,0.0007836281,0.0005529415,0.0002191735,0.0008230546,0.9462522,0.000117415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009313883,0.00007045206,0.00003510425,0.0001825233,0.00004896962,0.00003138866,0.9982663,0.00006469714,0.00120745],"genre_scores_gemma":[0.001315344,0.0004847976,0.0006573027,0.0003031199,0.00003284894,0.0002680701,0.9892211,0.0001564256,0.007560947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.088634,"threshold_uncertainty_score":0.3763495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747765757769927,"score_gpt":0.2429187347312527,"score_spread":0.2254410771535534,"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."}}