{"id":"W6939192609","doi":"10.6068/dp14ba8ddcfbb8","title":"Trend 1986 - 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, females, Non-contributory registered pension plans, Size of plan, 1 member | Units: # %, 1986-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-122.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Descriptive statistics; Census; Social security; Socioeconomic status; Population; 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":[0.001720209,0.002524776,0.003117476,0.008228167,0.003061344,0.004725173,0.005034527,0.001470342,0.07271706],"category_scores_gemma":[0.01611507,0.001837652,0.002092206,0.04167072,0.0006102479,0.00237624,0.002028636,0.003268134,0.05467484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04719959,"about_ca_system_score_gemma":0.1047935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926144,"about_ca_topic_score_gemma":0.9917578,"domain_scores_codex":[0.9963214,0.0002110778,0.000414597,0.0005360818,0.001675444,0.0008412745],"domain_scores_gemma":[0.9704258,0.001028283,0.001074348,0.0009034132,0.02524741,0.001320748],"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":[0.00002591949,0.000007016564,0.00109456,0.0002243221,0.00002153555,0.00000574801,0.00001716617,0.0001001315,0.000008246067,0.0002491212,0.9970958,0.001150368],"study_design_scores_gemma":[0.0002282109,0.00001413269,0.02974267,0.0008642459,0.00007969069,0.00002691843,0.0004441779,0.0005120776,0.0002019532,0.0005512728,0.9672518,0.00008281709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004899422,0.00003985493,0.00001148869,0.00007444425,0.00001777958,0.000008023312,0.9992782,0.00004028898,0.000480991],"genre_scores_gemma":[0.0005478965,0.0001658384,0.0001574832,0.00007872356,0.00001359729,0.00006820699,0.9965468,0.00005309109,0.002368234],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07271706,"threshold_uncertainty_score":0.3424586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04500295472918079,"score_gpt":0.2585713644647976,"score_spread":0.2135684097356168,"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."}}