{"id":"W6901490273","doi":"10.6068/dp14ba8e6db8a54","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Pensions Plans and Funds and Other Retirement Income Programs | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by size of asset | Variable: Size of plan, total assets, Market value of assets, Private sector registered pension plans | Units: # %, 2007-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-122.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Census; Descriptive statistics; Asset (computer security); Social security; Official statistics; Population; Socioeconomic status; Summary statistics; Personal income","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":[0.001838621,0.002488027,0.002850544,0.008485138,0.003151502,0.004817199,0.004991606,0.001463676,0.07609965],"category_scores_gemma":[0.01798579,0.001615919,0.002059646,0.03986131,0.0006175558,0.002349526,0.002268358,0.002875527,0.05273808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04553835,"about_ca_system_score_gemma":0.1066467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928516,"about_ca_topic_score_gemma":0.9922131,"domain_scores_codex":[0.9965269,0.0002176635,0.0003891935,0.0005184591,0.001527852,0.0008199817],"domain_scores_gemma":[0.970928,0.001179125,0.0009486747,0.0009790871,0.02456509,0.001400151],"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":[0.00002089204,0.00000478639,0.0008039877,0.0002077794,0.0000192222,0.000005643835,0.00001833691,0.00008002188,0.000008363335,0.0002986986,0.9973647,0.001167586],"study_design_scores_gemma":[0.0001635958,0.000009612234,0.01905199,0.0007801988,0.00007472659,0.00002587625,0.0003943953,0.0004407493,0.0001818351,0.0006379008,0.9781581,0.00008120984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003845402,0.00003990201,0.00001444929,0.00008126738,0.00001651663,0.000008076474,0.9992486,0.00004762024,0.0005051553],"genre_scores_gemma":[0.0004951998,0.0001665969,0.000233756,0.00008947081,0.00001159659,0.00007255808,0.9968559,0.00006631599,0.002008744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07609965,"threshold_uncertainty_score":0.3304054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03596002572110978,"score_gpt":0.2709260646309388,"score_spread":0.234966038909829,"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."}}