{"id":"W6957809788","doi":"10.6068/dp14ba8a3493336","title":"Trend 1974 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by size of plan, sector, type of plan and contributory status | Variable: Members, males, Defined contribution registered pension plans, Size of plan, 1 member, Number | Units: #, 1974-2012. 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; Summary statistics; Social security; Economic statistics; Wages and salaries; Value (mathematics); Socioeconomic status","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":[0.00186643,0.002478432,0.002721068,0.008658819,0.003045386,0.004856452,0.004936273,0.001558073,0.09182821],"category_scores_gemma":[0.01918161,0.001749334,0.001895674,0.03972904,0.0006318553,0.002476557,0.002199886,0.003087782,0.06328497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04512737,"about_ca_system_score_gemma":0.107345,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921583,"about_ca_topic_score_gemma":0.9905551,"domain_scores_codex":[0.9960374,0.0002283059,0.0004329143,0.0005743116,0.001826795,0.0009002914],"domain_scores_gemma":[0.969103,0.001358805,0.001088653,0.001077111,0.02592453,0.001447924],"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":[0.00001790199,0.00000518485,0.0007161449,0.0001762556,0.00001649973,0.000004849673,0.00001499193,0.00009036889,0.00000797668,0.000284797,0.9975822,0.001082916],"study_design_scores_gemma":[0.0001515524,0.000009161287,0.01614798,0.0006653926,0.00005554236,0.00001975455,0.0003110812,0.0003714331,0.0001635835,0.0005950585,0.9814378,0.00007166572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003240862,0.00003321259,0.00001438629,0.00007432549,0.00001576956,0.000008034818,0.9992104,0.00004750565,0.0005639551],"genre_scores_gemma":[0.000473132,0.0001575308,0.0002270807,0.00009269966,0.00001174806,0.00007286238,0.9963555,0.00007746499,0.002531959],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09182821,"threshold_uncertainty_score":0.3274236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03164948103964377,"score_gpt":0.2536894245421566,"score_spread":0.2220399435025129,"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."}}