{"id":"W6939153922","doi":"10.6068/dp14ba8ab44ee42","title":"Trend 1974 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by size of plan, sector, type of plan and contributory status | Variable: Members, males, Public sector registered pension plans, Size of plan, 100 to 499 members, Number | Units: #, 1974-2012. 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; Descriptive statistics; Census; Summary statistics; Social security; Economic statistics; Wages and salaries; Socioeconomic status","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":[0.001795552,0.002396878,0.002684792,0.008578354,0.003060265,0.004803982,0.004797067,0.001533724,0.08999286],"category_scores_gemma":[0.01789752,0.00173015,0.001879804,0.03936764,0.0006173854,0.002398429,0.002137306,0.003048329,0.05789125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04618933,"about_ca_system_score_gemma":0.1119347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931611,"about_ca_topic_score_gemma":0.9914527,"domain_scores_codex":[0.9961985,0.0002139225,0.0004135835,0.000536827,0.001747103,0.0008899538],"domain_scores_gemma":[0.9701257,0.001239756,0.001021299,0.0009741287,0.02520227,0.001436924],"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":[0.0000194573,0.000005525702,0.0007670933,0.0001834597,0.00001703324,0.000005329094,0.00001624085,0.00008901463,0.000007957058,0.0002967862,0.9974075,0.001184456],"study_design_scores_gemma":[0.0001574359,0.00001017617,0.01856192,0.0007057181,0.00005951454,0.00002249739,0.0003417504,0.0003882744,0.0001678778,0.0005919385,0.9789186,0.00007414421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003710812,0.00003717893,0.00001490956,0.00008137533,0.00001731699,0.000008671677,0.999139,0.00004827733,0.0006162951],"genre_scores_gemma":[0.0005496484,0.0001785608,0.0002379913,0.0001038514,0.00001308296,0.00007647465,0.9958494,0.00007973413,0.002911204],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08999286,"threshold_uncertainty_score":0.3351285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03926298878041299,"score_gpt":0.2572916865638184,"score_spread":0.2180286977834054,"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."}}