{"id":"W6939359256","doi":"10.6068/dp14ba89d34b486","title":"Trend 2007 - 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, North, Total, immigration status, sex unknown, Total, institution type | Units: #, 2007-2011. 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; Citizenship; Census; 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":[],"consensus_categories":[],"category_scores_codex":[0.002467337,0.002401263,0.003008957,0.008221213,0.003279696,0.005366273,0.005362241,0.001581273,0.09299987],"category_scores_gemma":[0.02169963,0.001897318,0.0023571,0.04062229,0.0006870293,0.00278945,0.002601865,0.003257022,0.06171799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04323606,"about_ca_system_score_gemma":0.127257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9906551,"about_ca_topic_score_gemma":0.9870219,"domain_scores_codex":[0.9953648,0.0003482292,0.0005399674,0.0006052316,0.002071358,0.001070365],"domain_scores_gemma":[0.9612419,0.001669934,0.001205056,0.001291728,0.0327767,0.001814773],"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":[0.00002234136,0.00000593724,0.0009067688,0.0002180099,0.00001951326,0.000005353858,0.00001880536,0.00008546507,0.000007721903,0.0003024177,0.9971168,0.001290847],"study_design_scores_gemma":[0.0001837492,0.00001217408,0.02005862,0.001074879,0.00007375157,0.00002584262,0.0004875113,0.0004563727,0.0001878247,0.0007437217,0.9766008,0.00009477424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004118912,0.00003799121,0.0000215628,0.0001144481,0.0000280551,0.00001325736,0.9989861,0.00005679074,0.0007006361],"genre_scores_gemma":[0.000585596,0.0002375513,0.0003592331,0.000151845,0.00001899277,0.0001363855,0.9953732,0.0001245197,0.003012798],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09299987,"threshold_uncertainty_score":0.313701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198434039956629,"score_gpt":0.2426823316983157,"score_spread":0.2206979912987494,"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."}}