{"id":"W6939194918","doi":"10.6068/dp14ba8cf7be694","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, sex and detailed age group | Variable: 15 to 24 years, Participation rate, 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; Population; Socioeconomic status; Official statistics; Population statistics; Diversity (politics); Ethnic group; Current Population 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":[0.002811254,0.00239225,0.002828418,0.007561559,0.00332003,0.004678617,0.005411897,0.001399764,0.09567393],"category_scores_gemma":[0.0197318,0.002076309,0.002254477,0.03575681,0.0005943607,0.002407772,0.002356276,0.003395712,0.04724671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05442131,"about_ca_system_score_gemma":0.1461155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950019,"about_ca_topic_score_gemma":0.9929034,"domain_scores_codex":[0.9952675,0.0003637005,0.0005811555,0.0005640324,0.00213225,0.001091397],"domain_scores_gemma":[0.963537,0.001289928,0.001109764,0.0009663514,0.03123648,0.001860357],"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":[0.00003518009,0.000009755063,0.001400179,0.0002796408,0.00002466592,0.000007269757,0.00002983896,0.00009490421,0.00001063428,0.0003189651,0.9955804,0.00220863],"study_design_scores_gemma":[0.0002933349,0.00002435816,0.04911402,0.001520587,0.0001185545,0.00004048136,0.0007709042,0.0005781619,0.0002179265,0.0008240858,0.9463784,0.0001192393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008489612,0.00006444264,0.00003330581,0.000162616,0.00004560416,0.00003059495,0.9983844,0.0000638604,0.001130346],"genre_scores_gemma":[0.001238346,0.0004431656,0.0006173051,0.0002763963,0.00003075768,0.0002647588,0.9897628,0.000160859,0.007205519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09567393,"threshold_uncertainty_score":0.394856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528395732797045,"score_gpt":0.2561758556803691,"score_spread":0.2308918983523987,"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."}}