{"id":"W6958084659","doi":"10.6068/dp14ba883f8bf64","title":"Trend 2007 - 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: Guinea-Bissau, Canadian students, Both sexes, Total, institution type | Units: #, 2007-2011. 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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001214795,0.0009815808,0.001171247,0.000316401,0.0006513104,0.0002926081,0.001106157,0.0006559652,0.002535765],"category_scores_gemma":[0.0001499656,0.001084884,2.319898e-7,0.0003540164,0.0005612661,0.0006728243,0.0007845275,0.000890204,0.0000216914],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121344,"about_ca_system_score_gemma":0.04753113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999776,"about_ca_topic_score_gemma":0.9999416,"domain_scores_codex":[0.9941788,0.0005556653,0.001095549,0.001510843,0.001558026,0.001101073],"domain_scores_gemma":[0.9948757,0.0004688599,0.0011169,0.001784509,0.0002638017,0.001490205],"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":[0.00009537391,0.0000896294,0.001037992,0.0005275017,0.0004958398,0.0001000337,0.000048464,0.000007003608,0.000005764945,0.0002112981,0.9970908,0.0002902958],"study_design_scores_gemma":[0.001135243,0.000142002,0.0003742372,0.00007798067,0.0008373726,0.000226363,0.001312411,0.0005552463,3.792037e-8,9.494256e-7,0.9942449,0.001093244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004122654,0.01683368,0.000003806131,0.00000388077,0.001005132,0.001048077,0.980109,0.00005851699,0.0008966948],"genre_scores_gemma":[0.0001936866,0.005348,0.0001272715,0.0003684743,0.0002184231,0.00001211032,0.9897683,0.0002525233,0.003711229],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04640979,"threshold_uncertainty_score":0.9991601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392210424414147,"score_gpt":0.2559323048436241,"score_spread":0.2320102005994827,"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."}}