{"id":"W6939148351","doi":"10.6068/dp14ba8adb1373","title":"Trend 1992 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by type of plan, sector and contributory status | Variable: Members, females, Private sector registered pension plans, Number, Composite or combination plans | Units: #, 1992-2012. 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":"Descriptive statistics; Payroll; Pension; Census; Summary statistics; Wages and salaries; Value (mathematics); Economic statistics; Social security","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":[0.0020016,0.002463854,0.002854959,0.008401895,0.003193073,0.004974645,0.00519934,0.001616314,0.09549639],"category_scores_gemma":[0.01880647,0.001888555,0.001918868,0.041137,0.000612498,0.002655243,0.002222236,0.00315562,0.06044154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05093716,"about_ca_system_score_gemma":0.1218386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934994,"about_ca_topic_score_gemma":0.9918944,"domain_scores_codex":[0.9957527,0.0002543325,0.0004602377,0.0005876854,0.001991112,0.000954013],"domain_scores_gemma":[0.9675703,0.001250125,0.001093546,0.001005119,0.02751356,0.001567339],"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":[0.0000209311,0.00000527988,0.0007685413,0.0002129204,0.00001806237,0.000005288377,0.00001752238,0.00009157138,0.000007421976,0.0003072068,0.9973604,0.001184962],"study_design_scores_gemma":[0.0001622429,0.00001057353,0.01929547,0.0007930682,0.00006362683,0.0000228756,0.0003664523,0.000377407,0.0001486282,0.0005985896,0.9780855,0.00007546225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003904365,0.00004062833,0.00001494887,0.00009613273,0.00001776731,0.000009432547,0.9990888,0.00004472681,0.0006484441],"genre_scores_gemma":[0.0006242333,0.0002150001,0.0002598058,0.0001234,0.00001406238,0.00009411625,0.9952725,0.00009088757,0.003306098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09549639,"threshold_uncertainty_score":0.3695767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03839553520583631,"score_gpt":0.2609107414727091,"score_spread":0.2225152062668728,"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."}}