{"id":"W6901690628","doi":"10.6068/dp14ba8a0145e99","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: Eastern Africa, Total, immigration status, Both sexes, Total, institution type | 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; 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":[0.002505235,0.002351865,0.002812237,0.007974629,0.003190011,0.004964131,0.005508171,0.001555131,0.08850608],"category_scores_gemma":[0.02105331,0.001825842,0.002315285,0.03868835,0.0006428558,0.002736258,0.002506061,0.003212655,0.05357952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04381613,"about_ca_system_score_gemma":0.1235317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913117,"about_ca_topic_score_gemma":0.987811,"domain_scores_codex":[0.995462,0.0003371502,0.0005305574,0.0005885816,0.002037238,0.001044525],"domain_scores_gemma":[0.9629936,0.001481214,0.001207067,0.001254834,0.03132411,0.001739282],"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":[0.00002567465,0.000006851998,0.001109663,0.0002300071,0.00002252504,0.000005918221,0.00001954648,0.0001019175,0.000008788528,0.0003328371,0.996682,0.001454089],"study_design_scores_gemma":[0.0001967198,0.00001354581,0.02532837,0.001076016,0.00008221349,0.00002738585,0.0004812029,0.0005034198,0.0001944243,0.0007754132,0.9712242,0.00009716863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004642623,0.00003730979,0.00002281883,0.000116449,0.000027619,0.00001424034,0.9989886,0.00005411479,0.0006923764],"genre_scores_gemma":[0.0006573427,0.000230026,0.0003684687,0.0001553465,0.00001853026,0.0001340167,0.9950773,0.0001144781,0.003244483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08850608,"threshold_uncertainty_score":0.3179098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577002203975648,"score_gpt":0.2414127011029923,"score_spread":0.2156426790632358,"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."}}