{"id":"W6938720358","doi":"10.6068/dp14ba7c58afd45","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Education, Training and Learning - Educational Attainment | 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: 075-001-070.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Educational attainment; Census; Statistics education; Immigration; Socioeconomic status; Official statistics; Economic statistics; Statistical analysis","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":[0.002656033,0.002458271,0.002842671,0.0083616,0.003578209,0.004884574,0.005290802,0.001530924,0.09738323],"category_scores_gemma":[0.02159097,0.001872794,0.002315522,0.04032069,0.0006806695,0.002524413,0.002429703,0.003249759,0.05225766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05379648,"about_ca_system_score_gemma":0.1609926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952722,"about_ca_topic_score_gemma":0.9933296,"domain_scores_codex":[0.9950514,0.0003804926,0.0005754284,0.0005941986,0.002275121,0.001123318],"domain_scores_gemma":[0.9619286,0.001467322,0.001090308,0.001100458,0.03251489,0.001898365],"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":[0.0000286891,0.000006958864,0.001063684,0.0002983028,0.00002501647,0.000007123698,0.00002510765,0.0001063851,0.00001078758,0.0003819282,0.9959738,0.002072281],"study_design_scores_gemma":[0.0001887202,0.00001567209,0.02701189,0.001203122,0.00009720276,0.00003428686,0.0005593366,0.0004993937,0.0001817234,0.0007916578,0.9693127,0.0001042305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000057334,0.00006868823,0.00003585407,0.0001685418,0.0000442593,0.00002148892,0.9984955,0.00006939406,0.001038904],"genre_scores_gemma":[0.001125044,0.0004822957,0.0006745925,0.0002821301,0.00002981129,0.0001903095,0.9915193,0.0001755864,0.005521025],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09738323,"threshold_uncertainty_score":0.3903226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169397767884768,"score_gpt":0.2561757438074038,"score_spread":0.2344817661285561,"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."}}