{"id":"W6920205592","doi":"10.6068/dp14ba8f8f68627","title":"Trend 2007 - 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 size of asset | Variable: Size of plan, assets $25 to $49 million, Members, both sexes, Defined contribution registered pension plans, Number | Units: #, 2007-2012. 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; Census; Descriptive statistics; Asset (computer security); Social security; Official statistics; Population; Socioeconomic status; Publication; Personal income","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":[0.001862396,0.002467306,0.0029488,0.007887897,0.003015272,0.004856961,0.005120915,0.001439435,0.08524237],"category_scores_gemma":[0.01798902,0.001749636,0.002178922,0.03914543,0.0005917193,0.002500436,0.002209527,0.003150955,0.05809199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0478664,"about_ca_system_score_gemma":0.1110901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931132,"about_ca_topic_score_gemma":0.9921151,"domain_scores_codex":[0.9963199,0.0002220413,0.0004208121,0.0005063197,0.001698325,0.0008326679],"domain_scores_gemma":[0.9668423,0.001250772,0.001075132,0.0009932437,0.02836659,0.001471917],"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":[0.00002206429,0.000005790581,0.0009440141,0.0002037147,0.00001867213,0.0000053125,0.00001658807,0.00008248389,0.000007169021,0.0002565383,0.9972712,0.001166266],"study_design_scores_gemma":[0.0002019723,0.00001209166,0.023689,0.00085301,0.00007360956,0.00002562083,0.0004574398,0.0004948528,0.0001816997,0.0006180245,0.9733093,0.00008339361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000483762,0.00003858701,0.00001478478,0.00009330334,0.00001955485,0.000009839259,0.999082,0.00004996273,0.0006436224],"genre_scores_gemma":[0.0006033197,0.0001762649,0.0002235686,0.0001064035,0.00001403847,0.00008972594,0.9960195,0.00007366106,0.002693464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08524237,"threshold_uncertainty_score":0.3472967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264183929733944,"score_gpt":0.2781281403804083,"score_spread":0.2454863010830688,"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."}}