{"id":"W6901587720","doi":"10.6068/dp14ba89d7c7d16","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | 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: 075-001-142.","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; Asset (computer security); Descriptive statistics; Census; Summary statistics; Social security; Official statistics; Value (mathematics); Wages and salaries","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":[0.001844855,0.002445177,0.002670713,0.008201257,0.003172113,0.005116372,0.005080855,0.001582043,0.09460248],"category_scores_gemma":[0.01783912,0.001761335,0.001910131,0.0377234,0.0006266342,0.002553258,0.002291023,0.002975274,0.06597134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0447958,"about_ca_system_score_gemma":0.1060854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992273,"about_ca_topic_score_gemma":0.9907283,"domain_scores_codex":[0.996327,0.0002215779,0.0003841726,0.0005274807,0.001657658,0.000882018],"domain_scores_gemma":[0.9711871,0.001232896,0.0009533939,0.001040947,0.0240797,0.001505955],"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":[0.0000185619,0.000004843703,0.0006647158,0.0001686901,0.00001439818,0.00000484084,0.00001524395,0.00007499403,0.000007243533,0.000270927,0.9976417,0.001113906],"study_design_scores_gemma":[0.0001445854,0.00000898001,0.01549116,0.0007058641,0.00005142624,0.0000208851,0.0003278762,0.0003881303,0.0001583312,0.0006135508,0.9820176,0.00007148015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003380786,0.00003308068,0.00001482826,0.00008202796,0.00001604761,0.000008194872,0.999161,0.00005100796,0.0006000759],"genre_scores_gemma":[0.0004748137,0.0001583139,0.0002389684,0.00009916008,0.00001139707,0.0000764751,0.9964063,0.00008666061,0.002447937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09460248,"threshold_uncertainty_score":0.3250178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429144350398415,"score_gpt":0.2464002579663212,"score_spread":0.2221088144623371,"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."}}