{"id":"W6901639811","doi":"10.6068/dp14ba8adb8685","title":"Trend 2003 - 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: Primary metal manufacturing, Members, both sexes, Private sector registered pension plans, Number | Units: #, 2003-2012. 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; Census; Pension; Descriptive statistics; Economic statistics; Wages and salaries; Summary statistics; Official 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":[0.001752743,0.00235906,0.002720558,0.008004032,0.002929667,0.004744319,0.004893493,0.001543995,0.08231725],"category_scores_gemma":[0.0168137,0.001595034,0.001934806,0.03679567,0.0005720957,0.00230048,0.002079639,0.002937512,0.0578301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04057009,"about_ca_system_score_gemma":0.0995267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915695,"about_ca_topic_score_gemma":0.9900212,"domain_scores_codex":[0.9965347,0.000213859,0.0003741738,0.0005238254,0.001529497,0.000823856],"domain_scores_gemma":[0.9733656,0.001129869,0.0009579843,0.0009268491,0.02228531,0.001334339],"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":[0.0000202391,0.000004809665,0.0007313696,0.0001703452,0.00001684193,0.000005144569,0.0000148709,0.00007910359,0.000007314703,0.000269008,0.9976335,0.001047458],"study_design_scores_gemma":[0.0001599672,0.000009639174,0.01746034,0.0007197032,0.00006164604,0.00002434379,0.0003445039,0.0004157889,0.0001661533,0.0006103896,0.9799533,0.00007428681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003570055,0.0000359285,0.0000132454,0.00008001369,0.00001670751,0.000007026893,0.9992361,0.00004631358,0.0005289861],"genre_scores_gemma":[0.0004941583,0.0001544869,0.0002124933,0.0001022304,0.00001173506,0.00006483913,0.9965292,0.00007108613,0.002359837],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08231725,"threshold_uncertainty_score":0.294358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03124862536340572,"score_gpt":0.245211899439244,"score_spread":0.2139632740758383,"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."}}