{"id":"W6976547385","doi":"10.6068/dp14ba8c52e759","title":"Trend 1974 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by employer contribution rate, sector, type of plan and contributory status | Variable: Members, males, Employer contributions based on variable rate, Defined contribution registered pension plans | 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; Wages and salaries; Social security; Economic statistics; 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":[0.001897652,0.002537151,0.002774061,0.00894562,0.003148963,0.005049907,0.004926971,0.001549215,0.0927418],"category_scores_gemma":[0.01793923,0.001818034,0.0019614,0.04155622,0.000640483,0.002528633,0.002267321,0.003110581,0.06285841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04820496,"about_ca_system_score_gemma":0.1159308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932337,"about_ca_topic_score_gemma":0.9913269,"domain_scores_codex":[0.9958689,0.0002297824,0.0004403048,0.0005753382,0.001936911,0.0009488022],"domain_scores_gemma":[0.9695466,0.001232253,0.001046195,0.001017385,0.02574972,0.001407865],"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":[0.00001895968,0.000005455313,0.0007161375,0.0001961547,0.00001782917,0.000005364819,0.00001650252,0.00009572598,0.00000867603,0.0003063336,0.9973922,0.001220719],"study_design_scores_gemma":[0.0001410522,0.00000901048,0.01629134,0.0006787601,0.00005624229,0.00002014655,0.0003128124,0.000348403,0.00016549,0.0005611029,0.9813445,0.00007109637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003381932,0.00003905625,0.00001496944,0.00007999756,0.00001791054,0.000008528338,0.9991214,0.00004940945,0.0006349214],"genre_scores_gemma":[0.0005157922,0.0001930326,0.0002431419,0.0001016024,0.00001317161,0.00007422023,0.9957222,0.00008657503,0.003050301],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0927418,"threshold_uncertainty_score":0.3497531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819944560981449,"score_gpt":0.2536650327355247,"score_spread":0.2254655871257102,"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."}}