{"id":"W6976813191","doi":"10.6068/dp14ba8ab994576","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: 25 to 54 years, Not in labour force, High school graduate, Females, 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":"Educational Theory and Curriculum Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Socioeconomic status; Ethnic group; Population; Statistics education; 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":[0.002716348,0.002548663,0.00285001,0.008438702,0.003538091,0.005322518,0.005413201,0.001553226,0.08733059],"category_scores_gemma":[0.0224098,0.001949557,0.002379269,0.04026963,0.0007078565,0.002558185,0.002627776,0.003244638,0.04996471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05163718,"about_ca_system_score_gemma":0.1502095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9950454,"about_ca_topic_score_gemma":0.9931192,"domain_scores_codex":[0.9952298,0.0003623513,0.0005620715,0.0005879882,0.002143006,0.001114761],"domain_scores_gemma":[0.9638307,0.00150852,0.001091423,0.001249903,0.03047031,0.001849204],"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":[0.00002726606,0.000006846334,0.001098051,0.0002506124,0.00002433703,0.000006525283,0.00002554871,0.0001034852,0.00001018155,0.0003543556,0.996336,0.001756895],"study_design_scores_gemma":[0.0001988668,0.00001470237,0.02648013,0.001164778,0.00009475872,0.00003245873,0.0005581434,0.0005277063,0.0001977573,0.0008274037,0.9697943,0.0001090322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005097016,0.00005080971,0.00002915712,0.0001314355,0.00003507741,0.00001741852,0.9988453,0.00006694453,0.0007727599],"genre_scores_gemma":[0.0008118007,0.0003200871,0.0005275432,0.0001981361,0.00002197481,0.0001573036,0.993838,0.000142493,0.00398257],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9950454,"threshold_uncertainty_score":0.3746557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03305684129398526,"score_gpt":0.2820534170232802,"score_spread":0.248996575729295,"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."}}