{"id":"W6901536010","doi":"10.6068/dp14ba85ea6b145","title":"Trend 1999 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by North American Industry Classification System (NAICS), sector, type of plan and contributory status | Variable: Utilities, Members, males, Defined contribution registered pension plans | Units: # %, 1999-2012. 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; Census; Pension; Descriptive statistics; Wages and salaries; Economic statistics; Summary statistics; Official statistics; Social security; Value (mathematics)","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":[0.001878199,0.002503874,0.002782275,0.008695455,0.003146069,0.005101306,0.005107154,0.001580246,0.0929002],"category_scores_gemma":[0.0181049,0.00173549,0.002019276,0.04063215,0.000596068,0.002572106,0.002235112,0.003013178,0.06327591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04382596,"about_ca_system_score_gemma":0.1070295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917976,"about_ca_topic_score_gemma":0.9899583,"domain_scores_codex":[0.9960709,0.0002334592,0.000423598,0.0005746385,0.001815312,0.0008821773],"domain_scores_gemma":[0.9688135,0.001240913,0.001034649,0.001035582,0.02647565,0.001399689],"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":[0.00001974149,0.000005222526,0.0007005725,0.0001897783,0.00001765973,0.000005286365,0.0000154856,0.00008649307,0.000007514795,0.0002947066,0.9975327,0.00112482],"study_design_scores_gemma":[0.0001538437,0.000009232172,0.01656226,0.000737749,0.00006098629,0.00002164385,0.0003184565,0.0003766457,0.0001626172,0.0005942709,0.9809297,0.00007256342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003299534,0.00003616216,0.00001360724,0.00008052155,0.00001714661,0.000008075505,0.9991602,0.00004556862,0.0006057352],"genre_scores_gemma":[0.0004660553,0.0001714228,0.0002126293,0.00009973501,0.00001251317,0.00007091357,0.9962248,0.00007975719,0.0026622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0929002,"threshold_uncertainty_score":0.3179811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03860845352189397,"score_gpt":0.2496083879767173,"score_spread":0.2109999344548233,"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."}}