{"id":"W6957630176","doi":"10.6068/dp14ba88b47a252","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: Korea, South, Total, immigration status, 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; Statistics education; Population; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002471592,0.002416351,0.002904563,0.007994845,0.003203435,0.005065445,0.005416776,0.001569543,0.08868808],"category_scores_gemma":[0.0210725,0.001852775,0.002345014,0.03931906,0.0006416487,0.002791144,0.002493937,0.003214658,0.0555191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04199971,"about_ca_system_score_gemma":0.1192763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9906998,"about_ca_topic_score_gemma":0.9867057,"domain_scores_codex":[0.9953583,0.0003492931,0.0005397821,0.0006116241,0.002077354,0.001063752],"domain_scores_gemma":[0.9631595,0.001497351,0.001188956,0.001243383,0.03119752,0.001713289],"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":[0.00002565012,0.000006758779,0.0010467,0.0002320919,0.00002189172,0.000006029077,0.00001924853,0.00009751525,0.00000831206,0.0003229497,0.996788,0.001424776],"study_design_scores_gemma":[0.0001953175,0.00001342695,0.02362561,0.001077843,0.00008011143,0.00002770455,0.0004778444,0.0004793162,0.0001928495,0.0007424349,0.9729912,0.00009633195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004475943,0.00003850975,0.00002220341,0.0001133432,0.00002826433,0.00001408449,0.9989711,0.00005442687,0.0007133844],"genre_scores_gemma":[0.0006365184,0.0002398202,0.0003606406,0.0001520065,0.0000193399,0.0001351777,0.9950873,0.0001186934,0.003250483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9113119,"threshold_uncertainty_score":0.3047307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399054319172548,"score_gpt":0.2409558369391723,"score_spread":0.2169652937474468,"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."}}