{"id":"W6939201159","doi":"10.6068/dp14ba7c042d834","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, age group | Variable: 15 years and over, Employment rate, Born in Canada | 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; Diversity (politics); Current Population Survey; Population statistics","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":[0.002679781,0.002435708,0.003019199,0.007645428,0.003543286,0.00512907,0.005603624,0.001427227,0.09009637],"category_scores_gemma":[0.02002332,0.002028514,0.002381102,0.03722712,0.0006234477,0.002484112,0.002476428,0.003486861,0.04846573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05151819,"about_ca_system_score_gemma":0.1463045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948431,"about_ca_topic_score_gemma":0.9926614,"domain_scores_codex":[0.9954394,0.0003351359,0.0005553358,0.0005651715,0.00202799,0.001076975],"domain_scores_gemma":[0.9642397,0.001227976,0.001038212,0.001002887,0.03067832,0.001812799],"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":[0.00003551713,0.000009121397,0.001443876,0.0002764894,0.00002557208,0.000007593224,0.00003038489,0.00009504135,0.000010467,0.0002984618,0.9956812,0.002086176],"study_design_scores_gemma":[0.0002860341,0.00002210445,0.04562478,0.001561665,0.0001178683,0.00003917955,0.0007947052,0.0005609349,0.0002119894,0.0008369516,0.9498221,0.0001218378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007394699,0.000056592,0.00003008354,0.0001473604,0.00004066264,0.0000248084,0.9986545,0.00006138154,0.0009106111],"genre_scores_gemma":[0.001108123,0.0003909796,0.0005525556,0.0002332162,0.00002758075,0.0002323621,0.9919253,0.0001509777,0.005378812],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09009637,"threshold_uncertainty_score":0.3737924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173151866884918,"score_gpt":0.2441675120108973,"score_spread":0.2224359933420481,"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."}}