{"id":"W6977039909","doi":"10.6068/dp14ba85e4cfe12","title":"Trend 2001 - 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: Eritrea, Canadian students, Males, Total, institution type | Units: #, 2001-2011. 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":[0.002763181,0.00249686,0.002896793,0.008662029,0.003661272,0.005191961,0.005488121,0.001608576,0.08350176],"category_scores_gemma":[0.02129658,0.001901345,0.002413812,0.03943054,0.0006936174,0.002591098,0.002441897,0.003227495,0.05005358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05483296,"about_ca_system_score_gemma":0.155015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945204,"about_ca_topic_score_gemma":0.9920743,"domain_scores_codex":[0.9950243,0.0003385504,0.000545006,0.0006162827,0.00231518,0.001160652],"domain_scores_gemma":[0.9595572,0.001489077,0.001195222,0.001305666,0.03456233,0.001890495],"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":[0.00002779736,0.000006519168,0.001174667,0.0002515978,0.00002294649,0.000006705703,0.00002302314,0.0001123831,0.0000102547,0.0003399637,0.9963406,0.001683509],"study_design_scores_gemma":[0.0001750248,0.00001382774,0.02626014,0.001096568,0.00008651845,0.00002919456,0.0005220729,0.0004740366,0.000203072,0.0006707312,0.9703665,0.0001023919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005421027,0.00004842677,0.00002667734,0.0001412964,0.0000328827,0.00001582292,0.9988023,0.00006428145,0.0008140879],"genre_scores_gemma":[0.0008483204,0.0003092932,0.0004714498,0.000190534,0.00002196601,0.000148375,0.9937991,0.0001351513,0.004075839],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08350176,"threshold_uncertainty_score":0.3978428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02913517828014115,"score_gpt":0.2574610328090442,"score_spread":0.2283258545289031,"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."}}