{"id":"W6977445416","doi":"10.6068/dp14ba8ddd62110","title":"Trend 1974 - 2006. Statistics Canada. CANSIM: Income, Pensions, Spending and Wealth - Pensions Plans and Funds and Other Retirement Income Programs | Country: Canada | Table: Registered pension plans (RPPs) and members, by class of employees eligible for the plan, sector, type of plan and contributory status | Variable: Total class of employees, Members, males, Total of registered pension plans, Number | Units: #, 1974-2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-122.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Historical Linguistics and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pension; Descriptive statistics; Census; Social security; Socioeconomic status; Population; Publication; Official statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006456501,0.0006643577,0.001542664,0.0001152741,0.0003424258,0.0001273461,0.0004135744,0.0002930395,0.0003567287],"category_scores_gemma":[0.0002279308,0.0005201066,0.000001186394,0.0001104325,0.0009714632,0.0001051382,0.0005764676,0.0004426554,2.834297e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001228235,"about_ca_system_score_gemma":0.001572219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936085,"about_ca_topic_score_gemma":0.9953435,"domain_scores_codex":[0.9961333,0.0002594904,0.001279742,0.0008751284,0.0008228478,0.0006294434],"domain_scores_gemma":[0.9954608,0.001467039,0.001305235,0.001142161,0.0002184841,0.0004062652],"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":[0.0006741256,0.0001182635,0.001773861,0.002162672,0.0004668193,0.00007839303,0.0001883863,0.000001901001,0.000009669939,0.004416294,0.9900694,0.00004019819],"study_design_scores_gemma":[0.001993319,0.0005592079,0.0000774085,0.0004082958,0.0007055628,0.0001060744,0.002046696,0.000389074,1.659352e-7,0.000001463446,0.9931496,0.0005630929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004126968,0.00863672,0.000001966869,0.0000066648,0.0005203504,0.0009865074,0.9877049,0.00002389913,0.001706333],"genre_scores_gemma":[0.00778858,0.002931166,0.000139361,0.00004972054,0.0001548524,0.00001185026,0.9866771,0.0001331152,0.002114309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007375883,"threshold_uncertainty_score":0.999725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05914188832544014,"score_gpt":0.2751697747556701,"score_spread":0.2160278864302299,"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."}}