{"id":"W6920573185","doi":"10.6068/dp14ba8cb309538","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Education, Training and Skills | 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, Total population | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-089.","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; Statistics education; Ethnic group; Population statistics; Official statistics; 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":[0.002814448,0.002504703,0.002870003,0.008493872,0.003456441,0.005177814,0.005395155,0.001523614,0.08959914],"category_scores_gemma":[0.02189706,0.001995201,0.002432545,0.0395397,0.000668509,0.002555753,0.002584455,0.003267559,0.04926202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05442152,"about_ca_system_score_gemma":0.1573149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951586,"about_ca_topic_score_gemma":0.9930331,"domain_scores_codex":[0.994939,0.0003865232,0.0006091156,0.0005858006,0.002329331,0.001150206],"domain_scores_gemma":[0.9626136,0.001452742,0.001083575,0.001131623,0.03187669,0.001841694],"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":[0.00002813843,0.000007326948,0.001104669,0.0002861495,0.00002528329,0.000006972658,0.0000273737,0.0001053879,0.00001053986,0.0003800631,0.9960561,0.00196201],"study_design_scores_gemma":[0.0001991008,0.00001549457,0.0278582,0.001241723,0.00009823688,0.00003371799,0.0005718451,0.0005046052,0.0001947775,0.0008158723,0.9683598,0.0001065212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005752813,0.00006294779,0.00003253084,0.0001575914,0.00004112166,0.00002173288,0.9985949,0.00006859772,0.000963064],"genre_scores_gemma":[0.0009605205,0.0004154677,0.0006276015,0.0002497208,0.00002658915,0.0001928389,0.9921139,0.0001611985,0.005252029],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08959914,"threshold_uncertainty_score":0.3948576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03468940165727839,"score_gpt":0.2721952264682507,"score_spread":0.2375058248109723,"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."}}