{"id":"W6920337737","doi":"10.6068/dp14ba8d811ac1","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, Employment rate, Females, Immigrants, landed 5 or less 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; 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":[0.002620353,0.002342654,0.002808338,0.00743878,0.003292721,0.004614449,0.00530152,0.001346774,0.08860195],"category_scores_gemma":[0.01856217,0.001942786,0.002291136,0.03469048,0.0005831998,0.002375722,0.002313581,0.003354295,0.04510212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05246537,"about_ca_system_score_gemma":0.1476449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949417,"about_ca_topic_score_gemma":0.992985,"domain_scores_codex":[0.995453,0.0003360201,0.0005288229,0.0005332853,0.002087315,0.001061564],"domain_scores_gemma":[0.9644067,0.001148766,0.001070333,0.0008766148,0.03067678,0.00182087],"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":[0.00003599848,0.000009837788,0.001521748,0.0002788498,0.00002595993,0.000007569254,0.00002945346,0.0001013689,0.00001123634,0.0003296412,0.9953608,0.002287534],"study_design_scores_gemma":[0.0002639692,0.00002315096,0.04855081,0.001404785,0.0001172387,0.0000408761,0.0007714652,0.0005679681,0.0002241658,0.0008083699,0.9471108,0.0001162975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009499912,0.00007164566,0.00003570619,0.0001838975,0.00004957144,0.00003077338,0.9982339,0.00006777823,0.001231648],"genre_scores_gemma":[0.00134312,0.0004900482,0.0006686935,0.0003010615,0.00003295032,0.0002584842,0.9889392,0.0001621061,0.007804269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08860195,"threshold_uncertainty_score":0.3806647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090467820299783,"score_gpt":0.2562576168487179,"score_spread":0.2253529386457201,"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."}}