{"id":"W6939017014","doi":"10.6068/dp14ba8e5bd9f33","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 size of plan, sector, type of plan and contributory status | Variable: Plans, Non-contributory registered pension plans, Size of plan, 100 to 499 members, Number | 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":[0.001722774,0.002434017,0.003038263,0.008107216,0.002977175,0.004799263,0.005012272,0.001456082,0.08092844],"category_scores_gemma":[0.01688229,0.001794385,0.002118626,0.04023455,0.0006200718,0.002437721,0.002172789,0.003340096,0.05864219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04346164,"about_ca_system_score_gemma":0.1032956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9919904,"about_ca_topic_score_gemma":0.9910355,"domain_scores_codex":[0.9964455,0.0002098785,0.0004126017,0.0005312654,0.001587759,0.0008128745],"domain_scores_gemma":[0.9712842,0.001119057,0.001006301,0.0009508909,0.02433381,0.001305641],"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":[0.00002306611,0.000006064805,0.0009420527,0.0002065823,0.00002104452,0.000005427531,0.00001677697,0.00008810814,0.000007821803,0.0002382292,0.9973019,0.001142884],"study_design_scores_gemma":[0.0002156165,0.00001220795,0.02405979,0.0008112364,0.00007730201,0.00002541469,0.0004096808,0.0004457397,0.0001780621,0.0006280724,0.9730565,0.00008037309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004545578,0.00004020341,0.00001411069,0.0000805301,0.00001982588,0.000008776966,0.9992206,0.00004730758,0.0005232212],"genre_scores_gemma":[0.0005143405,0.0001578651,0.0001835415,0.00008794365,0.00001385459,0.00007389118,0.996538,0.00006511962,0.002365497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08092844,"threshold_uncertainty_score":0.3153378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04101413193900981,"score_gpt":0.2805237348447499,"score_spread":0.2395096029057401,"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."}}