{"id":"W6939187088","doi":"10.6068/dp14ba8e08d1096","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Labor Market and Income | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 25 to 54 years, Employment rate, Total, all education levels, Males, Immigrants, landed more than 5 to 10 years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-094.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Memory, History, Trauma, Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Census; Official statistics; Socioeconomic status; Descriptive statistics; Population; Ethnic group; Diversity (politics)","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":[0.002734585,0.00252215,0.00296001,0.007942426,0.003357457,0.004718927,0.005596821,0.001425204,0.08739763],"category_scores_gemma":[0.0182976,0.001954032,0.002523867,0.03766102,0.0005975187,0.002356329,0.002398543,0.003325451,0.04711543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05421132,"about_ca_system_score_gemma":0.1482562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955847,"about_ca_topic_score_gemma":0.9939781,"domain_scores_codex":[0.995272,0.0003385833,0.0005332859,0.0005431189,0.00217523,0.001137761],"domain_scores_gemma":[0.9622339,0.00116176,0.001091676,0.0009730606,0.03268631,0.001853369],"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":[0.00003572837,0.000009571659,0.001437139,0.0002712712,0.00002725913,0.000007487731,0.00002743185,0.0001020503,0.00001159725,0.0003200333,0.9956146,0.002135842],"study_design_scores_gemma":[0.0002497876,0.00002191083,0.04489861,0.001256578,0.0001121843,0.00003605508,0.0006646042,0.0005609733,0.000228457,0.0007587714,0.9510926,0.0001194549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008274803,0.00006315685,0.00003106441,0.0001559697,0.00004366482,0.00002541477,0.9984699,0.0000658592,0.001062202],"genre_scores_gemma":[0.001116173,0.0003612106,0.0005528736,0.0002595937,0.00002861779,0.0002066286,0.9907636,0.0001497418,0.0065615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08739763,"threshold_uncertainty_score":0.3933325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004686055508191,"score_gpt":0.2504126422758045,"score_spread":0.2203657817207226,"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."}}