{"id":"W6938864493","doi":"10.6068/dp14ba8b49ac840","title":"Trend 2007 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by size of asset | Variable: Size of plan, assets $100 to $149 million, Members, males, Total of registered pension plans, Number | Units: #, 2007-2012. 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; Asset (computer security); Descriptive statistics; Census; Summary statistics; Social security; Official statistics; Value (mathematics); Wages and salaries","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":[0.001950631,0.002441682,0.002743397,0.008074493,0.003012936,0.005165444,0.005131471,0.001636393,0.09858704],"category_scores_gemma":[0.01935367,0.001816488,0.001990302,0.03837205,0.0006392971,0.00268949,0.002268703,0.003096099,0.06938945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.043995,"about_ca_system_score_gemma":0.1080547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912114,"about_ca_topic_score_gemma":0.98958,"domain_scores_codex":[0.996119,0.0002429247,0.0004171499,0.0005496205,0.001793403,0.000877896],"domain_scores_gemma":[0.9680656,0.001384867,0.001041794,0.001122562,0.02680678,0.001578367],"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":[0.00001785587,0.000004697328,0.0006101658,0.0001620789,0.00001432319,0.000004479798,0.00001385368,0.00007727347,0.000006750915,0.0002628003,0.9978155,0.001010264],"study_design_scores_gemma":[0.0001536932,0.000009064843,0.01368888,0.0006929382,0.00005222151,0.0000211004,0.0003086423,0.0003994968,0.0001537375,0.0006435702,0.9838036,0.00007299525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003203428,0.00003281736,0.00001580439,0.00009052326,0.00001742995,0.000008671048,0.9991178,0.00005534141,0.0006295737],"genre_scores_gemma":[0.0004557231,0.0001632609,0.000251495,0.0001135815,0.00001258351,0.00008055245,0.9963003,0.00009826947,0.002524115],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09858704,"threshold_uncertainty_score":0.3298065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616161031745118,"score_gpt":0.2582764898982806,"score_spread":0.2321148795808294,"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."}}