{"id":"W6920448276","doi":"10.6068/dp14ba89df02565","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, Not in labour force, University degree, 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":[0.002677977,0.002490859,0.002827688,0.008443894,0.003519963,0.0048501,0.005344437,0.001577159,0.09626386],"category_scores_gemma":[0.02281175,0.001908925,0.002295219,0.04103005,0.0006881616,0.002495023,0.002412396,0.003311217,0.05085173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05362365,"about_ca_system_score_gemma":0.1576757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951617,"about_ca_topic_score_gemma":0.9930461,"domain_scores_codex":[0.9950376,0.0003905857,0.0005894522,0.0005969402,0.002271337,0.00111419],"domain_scores_gemma":[0.9622959,0.00156916,0.001121653,0.001127956,0.03201881,0.001866435],"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":[0.00002817133,0.000006536313,0.0009810881,0.0003013957,0.00002453431,0.000007015269,0.00002437521,0.0001080654,0.00001033898,0.0003802329,0.9962265,0.001901748],"study_design_scores_gemma":[0.0002042208,0.00001568078,0.02624832,0.001214424,0.00009723584,0.00003461299,0.0005524827,0.0005174595,0.0001832515,0.0008236185,0.9700014,0.0001073273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005152266,0.00006269796,0.00003365094,0.0001571698,0.00004071628,0.0000202226,0.9986377,0.00006718424,0.0009290372],"genre_scores_gemma":[0.001058317,0.0004386412,0.0006404092,0.0002579,0.00002849883,0.0001843469,0.9923079,0.0001681185,0.004915752],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09626386,"threshold_uncertainty_score":0.3890687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983927075366385,"score_gpt":0.2410221163941763,"score_spread":0.2211828456405124,"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."}}