{"id":"W6901781925","doi":"10.6068/dp14ba8a1ced683","title":"Trend 2005 - 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: Western Africa, Total, immigration status, sex unknown, Total, institution type | Units: #, 2005-2010. 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; Citizenship; Census; Population; Statistics education; 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":[0.002482118,0.002404056,0.002844893,0.007842417,0.003139236,0.004876593,0.005502572,0.001497935,0.08653123],"category_scores_gemma":[0.02060657,0.001806124,0.002337102,0.03758199,0.000654323,0.002669807,0.002451084,0.003170943,0.05306103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04419406,"about_ca_system_score_gemma":0.1271669,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917985,"about_ca_topic_score_gemma":0.9884064,"domain_scores_codex":[0.9956471,0.0003268027,0.0005151851,0.0005691651,0.001931836,0.001009836],"domain_scores_gemma":[0.9652342,0.001370869,0.001155106,0.001160216,0.02933677,0.00174283],"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":[0.00002461226,0.000006109497,0.001015195,0.0002224571,0.00002147852,0.000005545536,0.00001863749,0.00009170423,0.000008389543,0.0003031637,0.9969299,0.001352888],"study_design_scores_gemma":[0.000203094,0.0000142354,0.02503247,0.001161631,0.00008818809,0.00002873582,0.0005008678,0.0005148061,0.000198529,0.000797575,0.9713606,0.00009931323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004642962,0.00003903075,0.0000224361,0.0001179103,0.00002962306,0.00001351477,0.9990159,0.00005594652,0.0006592724],"genre_scores_gemma":[0.0006782727,0.0002360504,0.0003749983,0.0001675528,0.00001986545,0.0001319217,0.9950531,0.0001148853,0.003223481],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08653123,"threshold_uncertainty_score":0.3206518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02737459428369426,"score_gpt":0.2463319007087274,"score_spread":0.2189573064250332,"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."}}