{"id":"W6957777767","doi":"10.6068/dp14ba853b4a699","title":"Trend 1999 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by North American Industry Classification System (NAICS), sector, type of plan and contributory status | Variable: Paper manufacturing, Plans, Total of registered pension plans, Number | Units: #, 1999-2012. 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; Census; Descriptive statistics; Economic statistics; Wages and salaries; Official statistics; Summary statistics; Social security; 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":[],"consensus_categories":[],"category_scores_codex":[0.001863852,0.002477034,0.002803758,0.00863538,0.003156532,0.005112917,0.00509489,0.001591799,0.09026615],"category_scores_gemma":[0.01808196,0.001712459,0.001996261,0.04043254,0.0005959325,0.00258618,0.002229233,0.003052907,0.06261666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04359711,"about_ca_system_score_gemma":0.1074256,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916917,"about_ca_topic_score_gemma":0.9898741,"domain_scores_codex":[0.9960068,0.0002371102,0.0004294158,0.0005831795,0.00184707,0.0008964564],"domain_scores_gemma":[0.9685272,0.001235118,0.001048522,0.001051645,0.02672899,0.00140858],"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":[0.00002005078,0.00000528951,0.0007110361,0.0001849406,0.00001742103,0.000005320818,0.00001539738,0.00008519139,0.000007606928,0.0002909629,0.9975304,0.0011265],"study_design_scores_gemma":[0.0001534724,0.000009451278,0.01677446,0.0007185808,0.00006102213,0.00002185996,0.0003304914,0.0003858329,0.0001652955,0.0005953796,0.9807109,0.00007318893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003438106,0.00003613548,0.00001396215,0.00008153615,0.00001752441,0.000008247222,0.9991611,0.00004577778,0.0006013363],"genre_scores_gemma":[0.000465573,0.0001668268,0.0002146976,0.00009936519,0.0000125111,0.00007120264,0.9962197,0.00007770013,0.002672501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09026615,"threshold_uncertainty_score":0.3163206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972212079435971,"score_gpt":0.247422205840221,"score_spread":0.2177000850458612,"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."}}