{"id":"W6976527582","doi":"10.6068/dp14ba866332649","title":"Trend 1974 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by funding instrument, sector, type of plan and contributory status | Variable: Other funding instrument, Plans, Total of registered pension plans, 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; Wages and salaries; Economic statistics; Social security; Value (mathematics); Official statistics","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":[0.002031924,0.002440422,0.002801325,0.008819125,0.003159199,0.005235873,0.004962874,0.001598821,0.1062593],"category_scores_gemma":[0.02002498,0.00190131,0.001922996,0.04196803,0.000659186,0.00270159,0.002356936,0.003228839,0.07271386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04776428,"about_ca_system_score_gemma":0.1205511,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924792,"about_ca_topic_score_gemma":0.9902644,"domain_scores_codex":[0.9955639,0.000259551,0.0004766385,0.0006157951,0.002105698,0.0009784782],"domain_scores_gemma":[0.9657186,0.001433416,0.001110228,0.001174423,0.02895199,0.001611462],"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":[0.00001678422,0.00000496534,0.0006111496,0.0001691669,0.00001529538,0.000004780234,0.00001574639,0.0000814367,0.000007555472,0.0002849651,0.9976617,0.00112649],"study_design_scores_gemma":[0.0001356756,0.000008620824,0.01388559,0.0006190435,0.00004957787,0.00001874626,0.0002954178,0.0003112279,0.0001493155,0.0005883891,0.9838717,0.00006664735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003238337,0.00003502383,0.00001815271,0.0000891585,0.00001920995,0.000009833823,0.9990053,0.00005922111,0.0007317472],"genre_scores_gemma":[0.000503571,0.0001851669,0.000298554,0.0001193443,0.00001465033,0.00009021835,0.995158,0.0001159396,0.003514471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1062593,"threshold_uncertainty_score":0.3554726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04725351636832755,"score_gpt":0.2649596626399437,"score_spread":0.2177061462716161,"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."}}