{"id":"W6901568949","doi":"10.6068/dp14ba8ec3fdc32","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, Unemployment, Post-secondary certificate or diploma, Both sexes, 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Official statistics; Descriptive statistics; Census; Socioeconomic status; 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":[0.002704382,0.002526964,0.003008421,0.007921256,0.003418826,0.00469185,0.005635837,0.0014303,0.08868913],"category_scores_gemma":[0.01841824,0.002031267,0.002535139,0.03795743,0.0006104626,0.002380673,0.00238658,0.003393165,0.04619503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05722315,"about_ca_system_score_gemma":0.1552445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960078,"about_ca_topic_score_gemma":0.9945036,"domain_scores_codex":[0.9951282,0.0003481021,0.0005568027,0.0005568776,0.002255576,0.001154432],"domain_scores_gemma":[0.960943,0.001194637,0.001117431,0.0009376273,0.03387836,0.001928913],"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":[0.00003647138,0.000009852865,0.001467867,0.0002855281,0.00002816742,0.000007543785,0.00002919595,0.000105576,0.00001177308,0.0003334258,0.9955429,0.002141756],"study_design_scores_gemma":[0.0002647253,0.00002308974,0.04757863,0.001327826,0.0001194629,0.0000370779,0.0007089634,0.0005856956,0.0002358368,0.0007821062,0.9482129,0.0001237292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008545748,0.0000658514,0.00003177498,0.0001641104,0.00004430103,0.0000271905,0.9983926,0.00006470965,0.001123931],"genre_scores_gemma":[0.001232961,0.0003986153,0.0005824079,0.0002857065,0.00002985387,0.0002266401,0.9899278,0.0001557651,0.007160297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08868913,"threshold_uncertainty_score":0.415185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272636814865807,"score_gpt":0.2617918448078181,"score_spread":0.2345281633212374,"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."}}