{"id":"W6901720387","doi":"10.6068/dp14ba86086c323","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: Cambodia, Total, immigration status, Both sexes, University | 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; Ethnic group; Population 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":[0.002598776,0.002381992,0.00281178,0.007889752,0.00329413,0.004903137,0.005501763,0.00161197,0.08537492],"category_scores_gemma":[0.02059208,0.001845266,0.002348932,0.03770232,0.0006711073,0.002645489,0.002450152,0.003248238,0.05022888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0474604,"about_ca_system_score_gemma":0.1376683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924605,"about_ca_topic_score_gemma":0.9887946,"domain_scores_codex":[0.9953377,0.0003487189,0.0005302666,0.0005817672,0.002118479,0.001083054],"domain_scores_gemma":[0.9625732,0.001440708,0.001177311,0.00120349,0.03183463,0.001770572],"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":[0.00002932096,0.000007202879,0.001176358,0.0002669952,0.00002438211,0.000006738023,0.00002177667,0.0001171774,0.00001049144,0.0003616639,0.9963326,0.001645328],"study_design_scores_gemma":[0.000191594,0.00001443784,0.02547366,0.001130622,0.0000858015,0.00002843985,0.0005056926,0.0005063803,0.0002113832,0.0007509621,0.9709994,0.0001015361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004988904,0.00004598474,0.00002498922,0.0001315994,0.00003138454,0.000015793,0.998901,0.00005691706,0.0007424422],"genre_scores_gemma":[0.000790077,0.0002929027,0.0004429038,0.0001849934,0.00002086432,0.0001490688,0.9943433,0.000123964,0.003652051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08537492,"threshold_uncertainty_score":0.3443509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188042300156198,"score_gpt":0.2287621832529863,"score_spread":0.2099579532373665,"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."}}