{"id":"W6901622222","doi":"10.6068/dp14ba8b019d859","title":"Trend 1976 - 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, males, Defined benefit registered pension plans, Size of plan, 500 to 999 members, Number | Units: #, 1976-2012. 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)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001746519,0.002403423,0.00269031,0.008539569,0.003011716,0.00490129,0.004884402,0.00155866,0.09443427],"category_scores_gemma":[0.01805632,0.001696262,0.001753875,0.03804883,0.0006006552,0.00244736,0.002115079,0.003041725,0.0664278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04258392,"about_ca_system_score_gemma":0.1025267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910648,"about_ca_topic_score_gemma":0.9898224,"domain_scores_codex":[0.996407,0.0002121202,0.0003707,0.0005364554,0.001636365,0.000837334],"domain_scores_gemma":[0.9709122,0.001305469,0.001017894,0.00104471,0.02422938,0.00149024],"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":[0.00001760586,0.000004772636,0.0006344558,0.0001561194,0.00001416137,0.000004375589,0.0000144445,0.00008508546,0.000007286158,0.000276848,0.9977657,0.00101931],"study_design_scores_gemma":[0.0001429878,0.000008669005,0.01471556,0.000621826,0.00004815919,0.0000187225,0.000298001,0.0003836546,0.00015264,0.000594489,0.9829443,0.00007094392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003315953,0.00003031656,0.00001416879,0.00007124845,0.00001489058,0.000007761583,0.999184,0.00005208667,0.0005924017],"genre_scores_gemma":[0.0004577379,0.0001421283,0.0002226861,0.000085793,0.00001096024,0.00007154887,0.9963996,0.00008247863,0.002526979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9055657,"threshold_uncertainty_score":0.3159141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130360925751203,"score_gpt":0.2519769316047395,"score_spread":0.2206733223472275,"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."}}