{"id":"W6901428547","doi":"10.6068/dp14ba7cf1a7c87","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by earnings base for defined benefit plans, sector and contributory status | Variable: Average best earnings, 10 years and over, Market value of assets, Total of defined benefit registered pension plans | Units: # %, 2007-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-142.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Payroll; Pension; Descriptive statistics; Census; Social security; Summary statistics; Value (mathematics); Wages and salaries; Economic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001727016,0.002430188,0.002671377,0.008096537,0.002919337,0.004812259,0.004896704,0.001598229,0.08290982],"category_scores_gemma":[0.0172157,0.001675347,0.001890256,0.03723422,0.0006133383,0.002355051,0.002163657,0.003034957,0.05817523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04247551,"about_ca_system_score_gemma":0.1010589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9912984,"about_ca_topic_score_gemma":0.9902389,"domain_scores_codex":[0.9965931,0.000210394,0.0003647882,0.000507138,0.001517516,0.0008070805],"domain_scores_gemma":[0.9729546,0.001200968,0.0009547251,0.0009740596,0.02253626,0.001379451],"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":[0.00001847605,0.000004790817,0.0006704704,0.0001718097,0.00001569387,0.000004816821,0.00001385518,0.00008024729,0.000007314704,0.0002681507,0.9976972,0.001047243],"study_design_scores_gemma":[0.0001512295,0.000008837143,0.01560399,0.0007285817,0.00005683778,0.00002133076,0.0003169485,0.0004277618,0.0001614743,0.0006317911,0.981817,0.00007426531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003330006,0.00003660573,0.00001346741,0.00008096173,0.00001598989,0.000007355213,0.9992151,0.0000466262,0.0005505615],"genre_scores_gemma":[0.0004632034,0.0001622797,0.0002231927,0.00009687615,0.00001117155,0.00006764774,0.9967359,0.00007162491,0.002168193],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08290982,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899704140621759,"score_gpt":0.2365973352211361,"score_spread":0.2176002938149185,"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."}}