{"id":"W6901716878","doi":"10.6068/dp14ba8e5987317","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: 15 years and over, North America, Employment rate, Females, Immigrants, landed more than 5 to 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; Socioeconomic status; Population; Official statistics; Ethnic group; Diversity (politics); Population statistics; American Community 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":[0.002591566,0.002362313,0.002886386,0.007492773,0.003316367,0.00465166,0.00539129,0.001328729,0.08474639],"category_scores_gemma":[0.01818717,0.001961337,0.002349281,0.03516605,0.0005930162,0.002343473,0.002283309,0.003325474,0.04262523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05538272,"about_ca_system_score_gemma":0.151277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956618,"about_ca_topic_score_gemma":0.9937991,"domain_scores_codex":[0.9955086,0.0003280423,0.0005292425,0.0005255663,0.00205263,0.001055915],"domain_scores_gemma":[0.9638762,0.001115494,0.001053628,0.0008541175,0.03129475,0.001805747],"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":[0.00003805045,0.000009904446,0.001574709,0.0002962367,0.00002823156,0.000007803548,0.00003050074,0.0001003864,0.00001153641,0.0003248659,0.9952325,0.002345204],"study_design_scores_gemma":[0.0002941134,0.00002505117,0.05431406,0.00148901,0.0001341598,0.0000434818,0.0007839256,0.0005750087,0.0002314261,0.0007838557,0.941204,0.0001219256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009917358,0.00007699348,0.00003477528,0.0001793406,0.00005003262,0.00003226571,0.9982312,0.00006969321,0.001226486],"genre_scores_gemma":[0.001398382,0.0004951035,0.0006532862,0.0003046051,0.00003269942,0.000255434,0.9892647,0.0001602036,0.007435411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08474639,"threshold_uncertainty_score":0.4018317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205313019150518,"score_gpt":0.2466845426142005,"score_spread":0.2261532406991487,"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."}}