{"id":"W6976551341","doi":"10.6068/dp14ba8eb81fa54","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by type of organization, type of plan and contributory status | Variable: Religious, charitable, or other non-profit organization, private sector, Market value of assets, Defined benefit 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; Descriptive statistics; Census; Summary statistics; Social security; Economic statistics; Value (mathematics); Wages and salaries; 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":[0.001713044,0.002393159,0.002714865,0.008477713,0.003056169,0.00488987,0.004817956,0.001511905,0.08501986],"category_scores_gemma":[0.01690898,0.001701748,0.001936744,0.03930425,0.0006043786,0.002302747,0.002128907,0.002937529,0.05349821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04788527,"about_ca_system_score_gemma":0.1133229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936149,"about_ca_topic_score_gemma":0.9923735,"domain_scores_codex":[0.9963881,0.000208,0.0003862793,0.0005113527,0.001648705,0.0008576193],"domain_scores_gemma":[0.9716179,0.001161008,0.0009634835,0.0008919931,0.02392841,0.001437207],"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":[0.00002047503,0.000005346837,0.000780728,0.0001904938,0.00001738704,0.000005494836,0.00001711135,0.00009021514,0.00000770607,0.0003185509,0.9973906,0.001156044],"study_design_scores_gemma":[0.0001622206,0.000009736103,0.01862278,0.0007428193,0.00006365979,0.00002400275,0.0003807016,0.0004616204,0.0001794131,0.0006227114,0.9786547,0.00007576814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004073004,0.00003934082,0.00001387378,0.00008619787,0.00001664758,0.000008080241,0.9991295,0.00004668395,0.0006189997],"genre_scores_gemma":[0.0005925953,0.0001849123,0.0002355763,0.0001017519,0.0000118845,0.00007240289,0.9960234,0.00007831756,0.002699079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08501986,"threshold_uncertainty_score":0.3474336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288751005339349,"score_gpt":0.2418499585743487,"score_spread":0.2189624485209552,"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."}}