{"id":"W6939307815","doi":"10.6068/dp14ba8ed242830","title":"Most Recent Data (2009). 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 $10 billion and over, Plans, Defined benefit registered pension plans, Number | Units: #, 2009. 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; 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":[0.001863158,0.002382774,0.002789485,0.00734888,0.003236138,0.004825477,0.004987856,0.001720432,0.09252237],"category_scores_gemma":[0.01962741,0.001569894,0.001879201,0.04001527,0.0007196455,0.002392803,0.002310001,0.003142225,0.06898589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04392196,"about_ca_system_score_gemma":0.1005514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893785,"about_ca_topic_score_gemma":0.9889228,"domain_scores_codex":[0.9960789,0.0002346132,0.0004579865,0.0005683732,0.001791618,0.0008685791],"domain_scores_gemma":[0.9649624,0.001759017,0.00100413,0.001237774,0.02942274,0.001613888],"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":[0.00001608151,0.000005340173,0.0005513105,0.000165229,0.00001213902,0.000004186109,0.00001152808,0.0000686599,0.000006799956,0.0001736903,0.9982455,0.0007395411],"study_design_scores_gemma":[0.0001885987,0.000008696828,0.01670511,0.0006719792,0.00005741183,0.00002072528,0.0003388513,0.0003429024,0.0001605827,0.000512247,0.9809198,0.0000731235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002736717,0.00002670421,0.00000762107,0.00006575105,0.00001245336,0.000005343628,0.9994088,0.00003193628,0.0004140129],"genre_scores_gemma":[0.0003457696,0.0001136593,0.0001468536,0.00008061223,0.000008729116,0.00005034223,0.997637,0.00004451228,0.001572459],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09252237,"threshold_uncertainty_score":0.3186776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04510563858201432,"score_gpt":0.2811605459354793,"score_spread":0.236054907353465,"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."}}