{"id":"W6976792208","doi":"10.6068/dp14ba8ae039a36","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, Post-secondary certificate or diploma, Females, Born in Canada | 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; Socioeconomic status; Census; 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":[0.002633776,0.002579335,0.002914836,0.007823388,0.003396181,0.004973075,0.005475503,0.001470547,0.09643265],"category_scores_gemma":[0.01909828,0.001954646,0.002366555,0.03763165,0.0006159821,0.002376107,0.002532165,0.003255809,0.0535647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04965645,"about_ca_system_score_gemma":0.1373165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944218,"about_ca_topic_score_gemma":0.9924575,"domain_scores_codex":[0.9955363,0.0003366003,0.0005031704,0.0005505591,0.00198352,0.001089723],"domain_scores_gemma":[0.9664434,0.001285301,0.001058044,0.001051366,0.02835256,0.001809191],"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":[0.00002941682,0.000007770101,0.001115489,0.0002340263,0.0000228958,0.000006572324,0.00002380408,0.00009672201,0.000009671486,0.0003029609,0.996414,0.001736747],"study_design_scores_gemma":[0.000234353,0.00001797691,0.03282493,0.001181095,0.00009429931,0.00003346312,0.0005679139,0.0005261886,0.0002114878,0.0007770755,0.9634225,0.0001087483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005822306,0.00004448401,0.00002572524,0.0001170693,0.00003334333,0.00001911404,0.9988146,0.00005853818,0.0008288983],"genre_scores_gemma":[0.000778219,0.0002591678,0.000419975,0.0001833254,0.00002167938,0.000166834,0.9933826,0.0001295173,0.004658803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09643265,"threshold_uncertainty_score":0.3602844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03498369431778129,"score_gpt":0.26166437304901,"score_spread":0.2266806787312287,"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."}}