{"id":"W6957569436","doi":"10.6068/dp14ba81f54ae14","title":"Trend 2002 - 2004. 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: Nigeria, Not reported, Females, College | Units: #, 2002-2004. 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":[],"consensus_categories":[],"category_scores_codex":[0.002472444,0.002507201,0.002950351,0.008121501,0.003254584,0.00521269,0.005283464,0.001599662,0.09895247],"category_scores_gemma":[0.02055649,0.00187119,0.002341687,0.03772818,0.0006311012,0.002653361,0.002361679,0.003236951,0.06226683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04370039,"about_ca_system_score_gemma":0.1280704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916584,"about_ca_topic_score_gemma":0.9874407,"domain_scores_codex":[0.9953856,0.0003716408,0.0005261322,0.0005845911,0.002056985,0.00107504],"domain_scores_gemma":[0.9642086,0.001448992,0.001113459,0.00118841,0.03032027,0.001720269],"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":[0.00002487458,0.000005990059,0.0008354822,0.0002206339,0.00001951568,0.000006093855,0.00001772991,0.00009429319,0.000008141502,0.0003159648,0.9970866,0.001364688],"study_design_scores_gemma":[0.0001746939,0.00001226986,0.01880009,0.0009944261,0.00007083167,0.00002782358,0.0004393568,0.0004836566,0.0001698328,0.0007047419,0.9780321,0.00009015382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004279989,0.00004384165,0.00002376604,0.0001347816,0.00003439133,0.00001368897,0.9988317,0.00006338058,0.0008117141],"genre_scores_gemma":[0.0007083021,0.0002711018,0.0004255767,0.0001883792,0.00002145389,0.000138982,0.9938056,0.0001462515,0.004294351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09895247,"threshold_uncertainty_score":0.331029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205612387451672,"score_gpt":0.2513422502602748,"score_spread":0.2192861263857581,"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."}}