{"id":"W6957370233","doi":"10.6068/dp14ba8bcdbd627","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, Unemployment, Males, 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":[0.002794383,0.002559711,0.002962163,0.007714182,0.003318786,0.004808904,0.005709409,0.001489958,0.09746091],"category_scores_gemma":[0.02002811,0.002120673,0.002511983,0.03748255,0.0005877575,0.002477266,0.002501158,0.003407222,0.05233848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05106408,"about_ca_system_score_gemma":0.1449264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944705,"about_ca_topic_score_gemma":0.9920488,"domain_scores_codex":[0.9949708,0.0003991601,0.0005972716,0.0005675834,0.002289921,0.001175264],"domain_scores_gemma":[0.9601763,0.001361547,0.001181394,0.001060188,0.0342899,0.00193072],"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":[0.00003240754,0.000009263203,0.001204151,0.0002602821,0.00002492181,0.000007041396,0.00002431337,0.00009568908,0.000009941179,0.0003208848,0.9960793,0.001931697],"study_design_scores_gemma":[0.0002595136,0.00002143344,0.0377735,0.00134817,0.000107357,0.000036965,0.0006489501,0.0005565086,0.0002267287,0.0008154288,0.9580866,0.0001189749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006987976,0.00005710075,0.00002975333,0.0001522534,0.00004197316,0.0000249906,0.9985274,0.00006350198,0.001033181],"genre_scores_gemma":[0.0009868739,0.0003451786,0.0005441905,0.0002583853,0.00002827781,0.0002169203,0.9909067,0.0001611483,0.006552329],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09746091,"threshold_uncertainty_score":0.3704975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722807067358216,"score_gpt":0.2388273722575322,"score_spread":0.22159930158395,"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."}}