{"id":"W6976523356","doi":"10.6068/dp14ba84a9de129","title":"Trend 2007 - 2010. 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: Cape Verde, International Students, Males, University | Units: #, 2007-2010. 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; Statistics education; Census; Population; Citizenship; 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":[],"consensus_categories":[],"category_scores_codex":[0.002495194,0.002426647,0.002821675,0.008444924,0.003650337,0.005222967,0.00540997,0.001590295,0.08230785],"category_scores_gemma":[0.02112505,0.001847087,0.002405598,0.03863854,0.0007119838,0.002605556,0.002537319,0.003242044,0.04966083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05233014,"about_ca_system_score_gemma":0.1518354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946988,"about_ca_topic_score_gemma":0.9928097,"domain_scores_codex":[0.995178,0.0003404644,0.000540124,0.0006028715,0.002204947,0.001133573],"domain_scores_gemma":[0.964106,0.001362755,0.001069634,0.001145951,0.03054229,0.001773385],"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":[0.0000256395,0.000006235321,0.001182053,0.0002353297,0.00002302004,0.000006736758,0.00002326294,0.0001047351,0.000009693108,0.0003541948,0.9964507,0.001578407],"study_design_scores_gemma":[0.0001739377,0.00001337039,0.02484749,0.001081814,0.00008888776,0.00003126849,0.0005762897,0.0005500214,0.0001958789,0.0007910061,0.9715472,0.0001027078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005632396,0.00005270588,0.00002846286,0.00015342,0.00003581633,0.00001539535,0.9987676,0.00006300643,0.0008272361],"genre_scores_gemma":[0.000904215,0.0003103959,0.0004844098,0.0001968737,0.00002253911,0.0001383007,0.9940493,0.0001332926,0.00376064],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08230785,"threshold_uncertainty_score":0.3796835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162582762580412,"score_gpt":0.2471706643118333,"score_spread":0.2255448366860292,"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."}}