{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002888388,0.001936482,0.003603816,0.0004971226,0.0002840016,0.0002860914,0.001640625,0.001379881,0.004521258],"category_scores_gemma":[0.001388706,0.002070258,0.000002483613,0.0005941219,0.0007521248,0.0008187856,0.001239109,0.001316959,0.000007167279],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005350632,"about_ca_system_score_gemma":0.008949861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963444,"about_ca_topic_score_gemma":0.991466,"domain_scores_codex":[0.9888492,0.0009787839,0.002796562,0.00275527,0.002604838,0.002015387],"domain_scores_gemma":[0.984495,0.004759278,0.004722034,0.00387129,0.0005540576,0.001598292],"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":[0.005109688,0.0002544349,0.001251737,0.003589104,0.001134732,0.0004492286,0.00001322683,0.0001190871,0.0001730189,0.0004470682,0.9873906,0.00006801152],"study_design_scores_gemma":[0.008294106,0.0007723437,0.001301783,0.0008366717,0.002092638,0.0004241029,0.000171746,0.00661072,9.248811e-7,6.2089e-7,0.9775468,0.001947618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004278714,0.01075806,0.00001091762,0.000003845644,0.0007788219,0.002178622,0.9846986,0.00009232021,0.00105097],"genre_scores_gemma":[0.0001309355,0.004126094,0.0008192839,0.0001024327,0.0001370247,0.00004582493,0.9849699,0.000807888,0.00886061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009843938,"threshold_uncertainty_score":0.9999166,"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."}}