{"id":"W6920353305","doi":"10.6068/dp14ba86bea8378","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: Jordan, 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":[],"consensus_categories":[],"category_scores_codex":[0.002358277,0.002376044,0.002803539,0.00852955,0.003634455,0.005189895,0.005384233,0.001505125,0.08286849],"category_scores_gemma":[0.01995971,0.001799758,0.002347524,0.03920871,0.0006551208,0.002662027,0.002434709,0.003157461,0.0488019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05202401,"about_ca_system_score_gemma":0.1458224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945613,"about_ca_topic_score_gemma":0.9924167,"domain_scores_codex":[0.9952572,0.0003124732,0.0005252251,0.0005937176,0.002207518,0.001103894],"domain_scores_gemma":[0.9628285,0.001314731,0.001086154,0.00111462,0.03197476,0.00168117],"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":[0.00002730147,0.000006806517,0.001272549,0.000245253,0.00002370638,0.000007258523,0.00002328731,0.0001136356,0.000009943807,0.0003831187,0.996181,0.001706144],"study_design_scores_gemma":[0.0001750465,0.0000135762,0.02695861,0.00107825,0.00008757756,0.00003133411,0.0005650619,0.0005366301,0.0002078059,0.0007466542,0.969498,0.0001014388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005734589,0.00005056555,0.00002631382,0.0001415681,0.00003271673,0.00001510395,0.9987644,0.00005914441,0.0008528918],"genre_scores_gemma":[0.0008998415,0.0003183514,0.0004371758,0.0001859119,0.00002161012,0.0001304355,0.9938706,0.0001271058,0.004008934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08286849,"threshold_uncertainty_score":0.3774623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449648523951101,"score_gpt":0.2606869843125999,"score_spread":0.2361904990730889,"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."}}