{"id":"W6958063769","doi":"10.6068/dp14ba8bb3d5655","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: Transportation equipment manufacturing, Members, males, Private sector 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; Census; Pension; Descriptive statistics; Wages and salaries; Economic statistics; 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":[0.001630632,0.002366722,0.002667778,0.008126768,0.002974187,0.004660907,0.004886643,0.001578388,0.0815252],"category_scores_gemma":[0.01609075,0.001567324,0.001896105,0.03687482,0.0005724792,0.002354063,0.00208256,0.00297385,0.05813859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03802916,"about_ca_system_score_gemma":0.09360404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905467,"about_ca_topic_score_gemma":0.9892706,"domain_scores_codex":[0.9966565,0.0002001833,0.0003472436,0.0005204791,0.001484345,0.0007911486],"domain_scores_gemma":[0.9745676,0.001064132,0.0009039319,0.0009053719,0.0213146,0.001244276],"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":[0.00001927017,0.000005159889,0.0007386366,0.0001706551,0.00001678879,0.00000534545,0.00001454479,0.00008627251,0.000007521783,0.0002733706,0.9976361,0.001026431],"study_design_scores_gemma":[0.0001580243,0.00000940392,0.01693947,0.0006778844,0.00005898018,0.00002272865,0.0003381557,0.0004256917,0.0001635467,0.0005962846,0.9805375,0.00007231718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003580509,0.00003421502,0.00001278854,0.00007602222,0.00001601547,0.000006918512,0.9992495,0.00004309443,0.0005256435],"genre_scores_gemma":[0.0004466992,0.0001402886,0.0001863716,0.00008507949,0.00001091919,0.00005935746,0.9968559,0.00006254217,0.002152896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0815252,"threshold_uncertainty_score":0.2759222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03466870865572728,"score_gpt":0.2497541926767199,"score_spread":0.2150854840209927,"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."}}