{"id":"W6957511918","doi":"10.6068/dp14ba8857c0b29","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 $250 to $499 million, Plans, Total of registered pension plans | 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":[0.001947007,0.002465873,0.002726424,0.008053378,0.003089845,0.00519787,0.00509767,0.001591624,0.09812422],"category_scores_gemma":[0.01867652,0.001809041,0.001965664,0.03880385,0.0006339469,0.002652463,0.002256355,0.00305761,0.06864701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04625581,"about_ca_system_score_gemma":0.1114539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918476,"about_ca_topic_score_gemma":0.9902447,"domain_scores_codex":[0.9962395,0.0002294188,0.0003977709,0.0005315628,0.001742551,0.0008591933],"domain_scores_gemma":[0.9680714,0.001315733,0.0009951481,0.001080324,0.02697643,0.001561005],"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":[0.00001855748,0.000004895565,0.0006562772,0.000173382,0.00001494591,0.00000466578,0.00001436986,0.00007765614,0.000007285806,0.0002689306,0.9976279,0.001131104],"study_design_scores_gemma":[0.0001477714,0.000008848823,0.01412092,0.0007172583,0.00005389443,0.00002069638,0.0003087616,0.0003957465,0.0001611815,0.0006256315,0.9833678,0.00007157052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003289064,0.00003553718,0.00001569197,0.00008965808,0.00001707869,0.000008579364,0.9991081,0.00005336835,0.0006390916],"genre_scores_gemma":[0.0004745904,0.0001795649,0.0002573012,0.0001140623,0.00001229429,0.00008056813,0.996217,0.00009667034,0.002567902],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09812422,"threshold_uncertainty_score":0.335611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555370377209041,"score_gpt":0.2532103389656817,"score_spread":0.2276566351935913,"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."}}