{"id":"W6939112271","doi":"10.6068/dp14ba8b6c31f75","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by normal retirement age, sector, type of plan and contributory status | Variable: Market value of assets, Normal retirement age, over 65 years, Private sector registered pension plans | Units: $CAD x 1,000,000 $CAD, 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":"Payroll; Pension; Descriptive statistics; Census; Social security; Value (mathematics); Summary statistics; Wages and salaries; Official statistics; 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":[0.001735082,0.002361072,0.002717658,0.007922778,0.002694136,0.004550816,0.00488813,0.001578282,0.08600552],"category_scores_gemma":[0.01721669,0.001670716,0.001879904,0.03737845,0.0005939467,0.002212547,0.002058825,0.002907978,0.05594543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04032592,"about_ca_system_score_gemma":0.09486353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9909024,"about_ca_topic_score_gemma":0.9898191,"domain_scores_codex":[0.9966552,0.0002221325,0.0003745072,0.0005173426,0.0014573,0.0007734584],"domain_scores_gemma":[0.9724197,0.001318537,0.001040327,0.00100016,0.02274383,0.001477446],"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":[0.00002024236,0.000005321937,0.0007297784,0.0001687014,0.00001645077,0.000004740567,0.00001352889,0.00008521598,0.00000676339,0.0002573298,0.9976641,0.001027858],"study_design_scores_gemma":[0.0001784805,0.00001021136,0.0177618,0.0007532457,0.00006143536,0.00002346936,0.0003372954,0.0005080722,0.000160985,0.0006647322,0.9794639,0.00007618859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003603772,0.00003345903,0.00001307885,0.00007788633,0.00001496121,0.000006892622,0.9992835,0.00004407701,0.0004900607],"genre_scores_gemma":[0.0004590805,0.0001372594,0.0001896093,0.00008935506,0.00001020421,0.00006113591,0.9970428,0.00006234623,0.001948096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08600552,"threshold_uncertainty_score":0.2925864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181355984023446,"score_gpt":0.2567400945814047,"score_spread":0.2249265347411703,"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."}}