{"id":"W6958034041","doi":"10.6068/dp14ba8f2aba316","title":"Trend 1974 - 2012. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Pensions Plans and Funds and Other Retirement Income Programs | 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: Members, females, Employer contribution rate, 4.0% to 4.9% of earnings, Total of registered pension plans | Units: # %, 1974-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-122.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Descriptive statistics; Census; Social security; Population; Socioeconomic status; Official statistics; Publication; Personal income; Summary 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":[0.001685842,0.002500023,0.003005772,0.007943508,0.003033838,0.004786777,0.005116843,0.001450787,0.06917425],"category_scores_gemma":[0.01499934,0.001725278,0.002047505,0.03956449,0.0006365047,0.00235608,0.002142784,0.003309205,0.05391625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04461609,"about_ca_system_score_gemma":0.1017801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927173,"about_ca_topic_score_gemma":0.9919323,"domain_scores_codex":[0.9965057,0.0002045319,0.0003866839,0.0005193171,0.00155159,0.0008322484],"domain_scores_gemma":[0.9720285,0.0009596859,0.0009609934,0.0008840102,0.02387229,0.001294489],"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":[0.0000261357,0.000006999042,0.001168037,0.0002228964,0.00002293793,0.000006637034,0.00001954211,0.00009693205,0.000009552499,0.0002588772,0.9968945,0.001267071],"study_design_scores_gemma":[0.0001997391,0.00001304142,0.0268567,0.000840815,0.00007700415,0.00002758452,0.0004649231,0.0004610519,0.0001937602,0.0005863239,0.9701967,0.0000823725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005334149,0.00004570487,0.00001431074,0.00008168727,0.0000207618,0.000008532335,0.9992074,0.00004586853,0.000522386],"genre_scores_gemma":[0.0005368032,0.0001646561,0.0001689798,0.00008046748,0.00001331997,0.00006244822,0.9966978,0.00005650746,0.002219109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06917425,"threshold_uncertainty_score":0.3237139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04652798705685154,"score_gpt":0.2835385921378302,"score_spread":0.2370106050809787,"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."}}