{"id":"W6976377317","doi":"10.6068/dp14ba8ddd96c13","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 $250 to $499 million, Plans, Total of registered pension plans | 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; 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":[0.001713446,0.002400923,0.002772463,0.007909416,0.00276536,0.004566954,0.004917197,0.001516239,0.07583682],"category_scores_gemma":[0.01729868,0.001621673,0.002019839,0.03836453,0.0006144526,0.002272628,0.002168051,0.00292545,0.05323153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04131228,"about_ca_system_score_gemma":0.0946627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900923,"about_ca_topic_score_gemma":0.9896993,"domain_scores_codex":[0.9968094,0.0002130929,0.0003659365,0.0005020852,0.001376034,0.0007333868],"domain_scores_gemma":[0.9723054,0.001251023,0.0009644024,0.001014932,0.0230476,0.001416789],"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":[0.00001960617,0.000004958559,0.0007196012,0.0001869863,0.00001794285,0.00000478941,0.00001416531,0.00008339599,0.000007181648,0.0002621891,0.997695,0.0009842162],"study_design_scores_gemma":[0.000182657,0.00000925873,0.01681382,0.0007532066,0.00006718986,0.00002320368,0.0003491292,0.0004788948,0.0001696411,0.0006529177,0.9804257,0.00007446558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003504808,0.00003447113,0.00001256226,0.000073813,0.00001489342,0.000007093549,0.9993265,0.00004573714,0.0004500508],"genre_scores_gemma":[0.00042022,0.0001350892,0.000185947,0.00007595425,0.000009739953,0.00006326757,0.9974323,0.000057951,0.00161963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07583682,"threshold_uncertainty_score":0.2997429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03817715776933312,"score_gpt":0.2785387965390505,"score_spread":0.2403616387697174,"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."}}