{"id":"W6939146757","doi":"10.6068/dp14ba8d40d6983","title":"Trend 2009 - 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: Final average earnings, 4 to 5 years, Market value of assets, Private sector defined benefit registered pension plans | Units: # %, 2009-2012. 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":"Payroll; Earnings; Pension; Census; Descriptive statistics; Social security; Value (mathematics); Summary statistics; 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":[0.001679129,0.002411731,0.002649634,0.007740082,0.00288104,0.004673082,0.00494788,0.001574222,0.08228404],"category_scores_gemma":[0.01643974,0.001631733,0.001889488,0.03578893,0.0005949762,0.002303448,0.002108545,0.003024313,0.0565635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04154845,"about_ca_system_score_gemma":0.09784161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991419,"about_ca_topic_score_gemma":0.9903321,"domain_scores_codex":[0.9967855,0.0001957124,0.000352896,0.0004872055,0.00141564,0.000763006],"domain_scores_gemma":[0.9754741,0.001066096,0.000885999,0.0008952263,0.02039136,0.00128719],"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":[0.00001899314,0.000004766187,0.0006607841,0.0001734736,0.00001593456,0.000004970269,0.00001324101,0.00008088579,0.000007462952,0.0002629838,0.9977382,0.001018245],"study_design_scores_gemma":[0.0001618533,0.000008972937,0.01617584,0.0007526912,0.00005952801,0.00002245562,0.0003100411,0.0004342847,0.0001653099,0.0006376574,0.9811966,0.0000747649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003215515,0.0000358158,0.00001260814,0.00007987994,0.0000165577,0.000006901942,0.9992606,0.00004269883,0.0005127077],"genre_scores_gemma":[0.000461557,0.0001573993,0.0002094403,0.00009543142,0.00001115341,0.00006439786,0.9967661,0.00006665385,0.002167739],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08228404,"threshold_uncertainty_score":0.3014565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420847529604603,"score_gpt":0.2383936108175881,"score_spread":0.2141851355215421,"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."}}