{"id":"W6957763288","doi":"10.6068/dp14ba8c312ac83","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | 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: 075-001-094.","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; Unemployment; Official statistics; Census; Descriptive statistics; Socioeconomic status; Population; Summary statistics; Ethnic group; Diversity (politics)","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":[0.002877036,0.00255185,0.002997944,0.007849852,0.003374818,0.004861545,0.005801209,0.00147297,0.09592376],"category_scores_gemma":[0.02006506,0.002066846,0.002588084,0.03776048,0.0005945524,0.002430011,0.002523725,0.003384401,0.05181451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05183668,"about_ca_system_score_gemma":0.1459792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946088,"about_ca_topic_score_gemma":0.9925497,"domain_scores_codex":[0.9950061,0.0003923278,0.0005938339,0.0005739753,0.002263763,0.001170007],"domain_scores_gemma":[0.9591236,0.001337878,0.001183413,0.001080588,0.03533604,0.001938544],"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":[0.00003343054,0.000009368494,0.001315371,0.0002681376,0.00002669037,0.000007234297,0.00002581886,0.00009812823,0.00001026633,0.0003286917,0.9958451,0.002031825],"study_design_scores_gemma":[0.0002541305,0.00002090856,0.03986543,0.001360087,0.0001098276,0.00003642782,0.0006486778,0.000526906,0.0002186071,0.0008216196,0.9560174,0.0001198976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007307067,0.00005961676,0.00003079356,0.0001550946,0.0000433748,0.00002634468,0.9985044,0.00006215044,0.001045179],"genre_scores_gemma":[0.001015404,0.0003581635,0.0005623258,0.0002641166,0.00002864213,0.000230564,0.9909213,0.000155362,0.006464274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09592376,"threshold_uncertainty_score":0.3761032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427450668443313,"score_gpt":0.2346028584405014,"score_spread":0.2203283517560682,"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."}}