{"id":"W6976432418","doi":"10.6068/dp14ba84f608389","title":"Trend 1999 - 2011. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Education, Training and Skills | Country: Canada | Table: Postsecondary graduates, by immigration status, country of citizenship and sex | Variable: Sweden, International Students, Both sexes, University | Units: #, 1999-2011. 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; Citizenship; Population; Statistics education; Socioeconomic status; Ethnic group; Official statistics","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":[0.002507192,0.002374607,0.002859529,0.008577255,0.003697119,0.005253588,0.005399725,0.001649269,0.08487413],"category_scores_gemma":[0.02094039,0.001789429,0.00241906,0.03858143,0.0006658074,0.002666811,0.002552639,0.003278505,0.05015004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05030826,"about_ca_system_score_gemma":0.1432933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941778,"about_ca_topic_score_gemma":0.9917216,"domain_scores_codex":[0.9951364,0.0003478787,0.0005443843,0.0006090294,0.002252891,0.001109438],"domain_scores_gemma":[0.9632841,0.001386353,0.001091531,0.001150915,0.03140166,0.001685607],"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":[0.00002758408,0.000006924178,0.001207558,0.0002529605,0.00002477329,0.000007299635,0.00002381043,0.0001123562,0.000009613673,0.0003862306,0.9962136,0.001727364],"study_design_scores_gemma":[0.0001724571,0.00001305206,0.02403759,0.001055776,0.00008710969,0.0000302375,0.0005451383,0.0005171679,0.0001871747,0.0007794735,0.9724725,0.0001022859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005586088,0.00005282667,0.0000274499,0.0001502897,0.00003499931,0.00001566042,0.9987545,0.00005980876,0.0008485526],"genre_scores_gemma":[0.0008542482,0.0003131954,0.0004489786,0.0001929852,0.00002214166,0.0001384392,0.9940444,0.000128503,0.003857192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08487413,"threshold_uncertainty_score":0.3650137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178741008704723,"score_gpt":0.25029156534854,"score_spread":0.2285041552614928,"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."}}