{"id":"W6920183855","doi":"10.6068/dp14ba7c7edd480","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Education, Training and Skills | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Employment rate, High school graduate, Both sexes, Born in Canada | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-089.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Nonlinear Waves and Solitons","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Socioeconomic status; Ethnic group; Statistics education; Population; Official statistics; Population statistics; Diversity (politics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002616372,0.002489934,0.00284657,0.008314858,0.003560685,0.005169202,0.005416931,0.001570231,0.08614767],"category_scores_gemma":[0.02214257,0.001945229,0.002351442,0.03978076,0.0007094152,0.002532305,0.002595198,0.003230434,0.04904267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05196045,"about_ca_system_score_gemma":0.1503553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950047,"about_ca_topic_score_gemma":0.9930944,"domain_scores_codex":[0.9952821,0.0003576799,0.0005648899,0.0005739073,0.002125854,0.001095661],"domain_scores_gemma":[0.9640676,0.001484354,0.001105057,0.00120526,0.03033656,0.001801197],"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":[0.00002649048,0.000006790152,0.001127066,0.0002496039,0.00002439959,0.00000657917,0.00002519458,0.0001051648,0.000009698138,0.0003409338,0.9964365,0.001641731],"study_design_scores_gemma":[0.0002087924,0.00001466852,0.02708589,0.00119978,0.00009755556,0.0000333878,0.000580879,0.0005353942,0.0002007055,0.0008342403,0.9691,0.0001087412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005090653,0.00004818883,0.00002741109,0.0001292826,0.00003310006,0.00001670405,0.9989036,0.00006070593,0.0007301728],"genre_scores_gemma":[0.0008313914,0.0003096322,0.0004975998,0.0001898932,0.00002187805,0.0001551221,0.9940813,0.0001338582,0.003779313],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9138523,"threshold_uncertainty_score":0.3770012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191290361238586,"score_gpt":0.2522524689591871,"score_spread":0.2331234328353285,"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."}}