{"id":"W6939210652","doi":"10.6068/dp14ba8b6bd0772","title":"Trend 1986 - 2006. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by employer contribution rate, sector, type of plan and contributory status | Variable: Plans, Employer contribution rate, 3.0% to 3.9% of earnings, Defined benefit registered pension plans | Units: # %, 1986-2006. 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; Wages and salaries; Summary statistics; Social security; Economic statistics; 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":[0.001792215,0.002398817,0.002656405,0.008771577,0.003233743,0.004445473,0.004611459,0.00143648,0.07921763],"category_scores_gemma":[0.0152245,0.001733484,0.001753475,0.0406455,0.0006181612,0.002223799,0.001948329,0.002960248,0.0507866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05234088,"about_ca_system_score_gemma":0.121091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944803,"about_ca_topic_score_gemma":0.9930096,"domain_scores_codex":[0.9961525,0.0002122099,0.0004062152,0.0005196945,0.001820488,0.0008889054],"domain_scores_gemma":[0.971137,0.001038578,0.001022056,0.0008104261,0.02459026,0.001401652],"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":[0.00002531991,0.000006958169,0.0009555716,0.0002343057,0.00001848125,0.00000654398,0.00002086793,0.0001107406,0.000009629536,0.0003488712,0.9968588,0.001403794],"study_design_scores_gemma":[0.0001461118,0.0000114166,0.02318249,0.0007557092,0.0000614316,0.00002483453,0.0003856516,0.0004217892,0.0001868894,0.0005101648,0.9742413,0.0000722227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004469487,0.00004293745,0.00001363884,0.00007739407,0.00001632542,0.000008443959,0.999124,0.00004000325,0.0006324927],"genre_scores_gemma":[0.0006619456,0.000220474,0.0002327196,0.00009121985,0.00001233916,0.00006882701,0.9954666,0.00006577837,0.003180133],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07921763,"threshold_uncertainty_score":0.3797615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639626692371013,"score_gpt":0.2501616806527002,"score_spread":0.22376541372899,"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."}}