{"id":"W6901411367","doi":"10.6068/dp14ba86fc5e335","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: Belarus, International Students, Males, Total, institution type | 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; Official statistics; Ethnic group","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002503359,0.002393212,0.002886998,0.008489553,0.003451515,0.005192518,0.005599879,0.001604253,0.08382319],"category_scores_gemma":[0.0205279,0.001887442,0.002371188,0.03988509,0.0006693836,0.002712101,0.002471378,0.003313402,0.05001561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05008445,"about_ca_system_score_gemma":0.1456449,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935991,"about_ca_topic_score_gemma":0.9907817,"domain_scores_codex":[0.9951364,0.0003379257,0.000547513,0.0006088082,0.00225295,0.001116424],"domain_scores_gemma":[0.9611603,0.001404373,0.001180181,0.001173291,0.03329221,0.001789694],"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":[0.00002776833,0.000007409498,0.00124371,0.0002557062,0.00002453704,0.000006778677,0.00002230329,0.0001140597,0.000009791905,0.0003534665,0.996282,0.001652379],"study_design_scores_gemma":[0.0001880882,0.00001435756,0.02734668,0.001158611,0.00009136978,0.00003055768,0.0005459496,0.0005247321,0.0002031544,0.000752879,0.9690415,0.0001021028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005343616,0.00004896073,0.00002468589,0.0001366153,0.00003207566,0.00001573494,0.9988571,0.00005661693,0.0007748102],"genre_scores_gemma":[0.0008140791,0.0003024098,0.0004153023,0.0001841742,0.00002137721,0.0001392487,0.9942374,0.0001230539,0.003762889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9161768,"threshold_uncertainty_score":0.3633898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414714219177382,"score_gpt":0.2597850099089068,"score_spread":0.235637867717133,"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."}}