{"id":"W6957909199","doi":"10.6068/dp14ba87ec87d46","title":"Trend 2002 - 2004. 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: Caribbean and Bermuda, Not reported, Males, Total, institution type | Units: #, 2002-2004. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-089.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Neurological diseases and metabolism","field":"Neuroscience","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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003306979,0.00048191,0.0006575701,0.00008474587,0.0003604747,0.0001543681,0.0003651709,0.0002988621,0.0003728684],"category_scores_gemma":[0.0003634455,0.0004686987,2.019807e-7,0.0002677953,0.0004502964,0.0003282148,0.0004728533,0.0004784246,0.000001019488],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008880493,"about_ca_system_score_gemma":0.007099785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952139,"about_ca_topic_score_gemma":0.9713596,"domain_scores_codex":[0.9967415,0.0003361286,0.0006307972,0.001114219,0.0006844965,0.0004928011],"domain_scores_gemma":[0.9973491,0.0004560812,0.0006519241,0.0008656685,0.00009059707,0.00058659],"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":[0.0000764638,0.00006517731,0.0001166485,0.000295314,0.00005753048,0.0001327529,0.00001218295,0.000003193747,0.00007904808,0.0004873628,0.9980747,0.0005996124],"study_design_scores_gemma":[0.0006185929,0.000108079,0.0002745136,0.00002827378,0.0004096648,0.0003035207,0.000189271,0.0004790495,4.270478e-7,0.000001867801,0.9971054,0.000481374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002347655,0.01215079,0.000004627181,0.000006263857,0.0004824307,0.0005235993,0.9860869,0.00003099894,0.0004796062],"genre_scores_gemma":[0.001211681,0.007554978,0.00003843215,0.0007099946,0.00008165395,0.000005832464,0.9883216,0.00005845059,0.00201737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02385433,"threshold_uncertainty_score":0.9997765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03797494093990457,"score_gpt":0.2530239789216896,"score_spread":0.215049037981785,"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."}}