{"id":"W6920244913","doi":"10.6068/dp14ba8c532a912","title":"Trend 1974 - 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, both sexes, Non-contributory registered pension plans, Size of plan, 1,000 to 4,999 members, Number | Units: #, 1974-2012. 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; 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":[0.001684688,0.002261903,0.002718852,0.008375663,0.0027885,0.004766173,0.004543575,0.001503482,0.09485804],"category_scores_gemma":[0.01792782,0.001724551,0.001862667,0.03940772,0.0005971822,0.002354704,0.00202865,0.003024431,0.05949494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04580901,"about_ca_system_score_gemma":0.1092899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931321,"about_ca_topic_score_gemma":0.991482,"domain_scores_codex":[0.9962077,0.0002076267,0.0004420315,0.0005326477,0.001752962,0.0008569806],"domain_scores_gemma":[0.9700757,0.001270012,0.001089515,0.0009320769,0.02516171,0.001471014],"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":[0.00002092403,0.000006054397,0.0008270055,0.0001832684,0.00001760502,0.000005017156,0.00001519407,0.00008836597,0.000007291362,0.0002649611,0.9973666,0.001197725],"study_design_scores_gemma":[0.0001790337,0.00001218171,0.02138473,0.0007452817,0.00006348178,0.00002318988,0.0003564302,0.000435455,0.00016907,0.0005942623,0.9759617,0.00007511062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004478738,0.00004005459,0.0000152049,0.00008593146,0.00001822417,0.000008987844,0.9990639,0.00005050701,0.0006724501],"genre_scores_gemma":[0.0006196121,0.0001859091,0.0002189701,0.0001095089,0.00001419119,0.00007487698,0.9954921,0.00008047406,0.003204388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09485804,"threshold_uncertainty_score":0.3323691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497025728467355,"score_gpt":0.2509603052250398,"score_spread":0.2259900479403663,"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."}}