{"id":"W6920176416","doi":"10.6068/dp14ba8ef182c40","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, educational attainment, sex and age group | Variable: 15 years and over, Not in labour force, Total, all education levels, 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; Ethnic group; Diversity (politics); Official statistics; Population statistics; Place of birth","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":[0.002590769,0.002371924,0.002894741,0.007715021,0.003308189,0.004639014,0.005284171,0.001344525,0.08052639],"category_scores_gemma":[0.01835493,0.001950122,0.002313456,0.03536502,0.0006090472,0.002334325,0.00224415,0.003388357,0.04064239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05628225,"about_ca_system_score_gemma":0.1541052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959934,"about_ca_topic_score_gemma":0.9942222,"domain_scores_codex":[0.9955253,0.000309107,0.0005225653,0.0005310434,0.002081278,0.001030598],"domain_scores_gemma":[0.9646314,0.001125003,0.00109376,0.000852608,0.030488,0.001809247],"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":[0.00003811682,0.00001046723,0.001764637,0.0003213457,0.00002911358,0.000008021175,0.00003365313,0.0001091366,0.0000119246,0.0003391256,0.9948345,0.002499875],"study_design_scores_gemma":[0.0002794678,0.00002473867,0.05770621,0.001517324,0.0001334435,0.00004291782,0.0007968171,0.0006250546,0.0002365878,0.0007987923,0.9377183,0.0001203462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001031013,0.00007954656,0.00003686601,0.0001749093,0.00004851823,0.00003157307,0.9982764,0.00007082464,0.001178297],"genre_scores_gemma":[0.001545107,0.0005293334,0.0006921042,0.0002994861,0.00003297391,0.0002618594,0.98869,0.0001627672,0.007786428],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08052639,"threshold_uncertainty_score":0.4083582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03804904021039704,"score_gpt":0.2764258221347918,"score_spread":0.2383767819243947,"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."}}