{"id":"W6976923133","doi":"10.6068/dp14ba8bd3f3966","title":"Trend 1978 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | 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, Defined benefit registered pension plans, Size of plan, 5,000 to 9,999 members, Number | Units: #, 1978-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-142.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payroll; Pension; Descriptive statistics; Census; Summary statistics; Social security; Economic statistics; Wages and salaries; Value (mathematics); Socioeconomic status","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":[0.001675863,0.002365094,0.002697526,0.009154519,0.002984008,0.004655293,0.004816077,0.001459161,0.08598953],"category_scores_gemma":[0.0177984,0.001688104,0.001825943,0.04135399,0.0006014793,0.002327151,0.002036063,0.002883375,0.05200268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04962823,"about_ca_system_score_gemma":0.1149419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994014,"about_ca_topic_score_gemma":0.9927738,"domain_scores_codex":[0.9962537,0.0002062699,0.0003985024,0.0005377196,0.001721929,0.0008818479],"domain_scores_gemma":[0.9696007,0.001264246,0.001111596,0.0009640604,0.0255456,0.00151377],"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":[0.00002031916,0.000005294986,0.0008526955,0.0001905577,0.00001767504,0.000005414581,0.00001745588,0.00009770121,0.000007919079,0.0003466768,0.9972365,0.001201807],"study_design_scores_gemma":[0.0001534802,0.00001045802,0.02088297,0.0007202477,0.00006258288,0.00002425923,0.0003853736,0.0004534471,0.00017289,0.0006134867,0.9764432,0.00007767107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004229118,0.00003877417,0.00001427398,0.00008212524,0.0000160018,0.000007850571,0.9991311,0.00004631574,0.0006212558],"genre_scores_gemma":[0.0006963934,0.0001914048,0.0002366313,0.0001000554,0.00001245996,0.00007421872,0.9956259,0.00007904483,0.002983831],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08598953,"threshold_uncertainty_score":0.3600797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536134084002091,"score_gpt":0.2563283261148925,"score_spread":0.2209669852748716,"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."}}