{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002561876,0.002391799,0.002954559,0.00839283,0.003478958,0.005383243,0.005511004,0.00159899,0.08850264],"category_scores_gemma":[0.02153554,0.001913988,0.002376318,0.04077919,0.0007196845,0.002717782,0.002600138,0.003302234,0.05449226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05018559,"about_ca_system_score_gemma":0.1477938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993232,"about_ca_topic_score_gemma":0.9905056,"domain_scores_codex":[0.9952596,0.0003297414,0.0005397702,0.0005951669,0.002167966,0.001107771],"domain_scores_gemma":[0.959523,0.001598312,0.00122143,0.001293115,0.03446742,0.001896679],"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":[0.00002389241,0.000006511322,0.001097026,0.0002341265,0.00002187812,0.000005868459,0.00002111661,0.00009761671,0.00000914915,0.0003350567,0.9966953,0.001452464],"study_design_scores_gemma":[0.0001847825,0.0000128733,0.02293992,0.001101638,0.00008261087,0.00002755157,0.0005356764,0.0005051269,0.0002095295,0.0007505271,0.9735501,0.00009972312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004727539,0.00004206489,0.00002327552,0.0001286908,0.00002968876,0.00001444076,0.9989446,0.0000575181,0.0007125323],"genre_scores_gemma":[0.0007210002,0.0002789218,0.0004220972,0.0001729557,0.00001998053,0.0001437679,0.9947759,0.0001249736,0.003340417],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08850264,"threshold_uncertainty_score":0.3641236,"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."}}