{"id":"W6975943509","doi":"10.6068/dp14ba8f20f1748","title":"Trend 1978 - 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: Members, both sexes, Defined contribution registered pension plans, Size of plan, 5,000 to 9,999 members | Units: # %, 1978-2012. 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":[0.001739334,0.002426415,0.003104526,0.008249636,0.003069735,0.004759663,0.005195043,0.001410611,0.07543913],"category_scores_gemma":[0.01618011,0.001788965,0.002011348,0.04071826,0.0005979885,0.002390892,0.002093348,0.003193081,0.05058497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04941699,"about_ca_system_score_gemma":0.1159505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941179,"about_ca_topic_score_gemma":0.9932171,"domain_scores_codex":[0.9963277,0.0002051184,0.0004117952,0.0005283123,0.001648082,0.000879051],"domain_scores_gemma":[0.9680329,0.001051064,0.001104585,0.0009011924,0.02743763,0.001472601],"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":[0.00002665731,0.000006915347,0.001259932,0.0002212977,0.0000223737,0.000006063121,0.0000217934,0.00009600336,0.000008578444,0.0002800455,0.9967626,0.00128773],"study_design_scores_gemma":[0.0002240633,0.00001494627,0.03394611,0.0008963818,0.00008625814,0.00002935849,0.0005484138,0.0005092923,0.0002042489,0.0005870573,0.9628631,0.00009062598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000630472,0.00004305962,0.0000143782,0.00008765484,0.00002085528,0.00001024834,0.9991166,0.00004700652,0.0005971054],"genre_scores_gemma":[0.0007470772,0.0001882984,0.000194813,0.00009693955,0.00001579193,0.00008788767,0.9957421,0.00006830444,0.002858771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07543913,"threshold_uncertainty_score":0.358547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03997277038425483,"score_gpt":0.2725417656049057,"score_spread":0.2325689952206508,"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."}}