{"id":"W6920627170","doi":"10.6068/dp14ba8b9178f23","title":"Trend 1994 - 2005. 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: Plans, Employer contributions based on the employer's profit, Defined benefit registered pension plans | Units: # %, 1994-2005. 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; Wages and salaries; Summary statistics; Social security; Economic statistics; Value (mathematics); Official statistics","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":[0.002016397,0.002480336,0.002772099,0.008956271,0.003276977,0.005070531,0.005090022,0.001528493,0.09077775],"category_scores_gemma":[0.01756946,0.001833992,0.00194844,0.04149172,0.0006158313,0.00244665,0.002177554,0.003068818,0.05815216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05193187,"about_ca_system_score_gemma":0.1250404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936366,"about_ca_topic_score_gemma":0.9917305,"domain_scores_codex":[0.9956326,0.0002520362,0.0004805795,0.0006037808,0.002054581,0.0009764008],"domain_scores_gemma":[0.9678586,0.001245512,0.001112604,0.001020006,0.02726325,0.00150001],"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":[0.00002194373,0.000005923098,0.0007620239,0.000209455,0.00001949123,0.000005468862,0.00001747067,0.00009315131,0.000008079256,0.0003291935,0.9972162,0.001311464],"study_design_scores_gemma":[0.0001460501,0.00001030386,0.01850916,0.0007508468,0.00006550585,0.00002114979,0.0003361745,0.0003812026,0.0001698968,0.0005719615,0.9789636,0.00007398785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003812717,0.00004076511,0.00001471138,0.00008349307,0.00001807465,0.000009327574,0.999068,0.00004620804,0.0006812836],"genre_scores_gemma":[0.0005647356,0.0001988681,0.0002468673,0.0001074289,0.00001226952,0.00007827838,0.9956031,0.00008434316,0.003104087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09077775,"threshold_uncertainty_score":0.3767938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03046449779616513,"score_gpt":0.2532928768978686,"score_spread":0.2228283791017034,"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."}}