{"id":"W6920029817","doi":"10.6068/dp14ba8b0108555","title":"Trend 1993 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by type of organization, type of plan and contributory status | Variable: Other organization, public sector, Members, females, Defined contribution registered pension plans | Units: # %, 1993-2012. 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; Census; Descriptive statistics; Summary statistics; Economic statistics; Social security; Wages and salaries; Value (mathematics); 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":[0.001861251,0.002448461,0.002743216,0.008225814,0.003144475,0.005023818,0.004989577,0.001549787,0.09223177],"category_scores_gemma":[0.01721754,0.001796598,0.001860652,0.03935368,0.0006004869,0.002505331,0.002165391,0.003083289,0.06426632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.045717,"about_ca_system_score_gemma":0.1047222,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924682,"about_ca_topic_score_gemma":0.9907742,"domain_scores_codex":[0.9962083,0.0002272146,0.0004090358,0.000544695,0.001728263,0.0008825018],"domain_scores_gemma":[0.9707276,0.001172578,0.001001461,0.0009926151,0.02466757,0.001438231],"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":[0.00001918599,0.000005132984,0.0006920835,0.0001742924,0.0000158016,0.000005077995,0.00001579996,0.00008117806,0.000007035274,0.0002716593,0.9976488,0.001064082],"study_design_scores_gemma":[0.0001565699,0.000009640562,0.01768354,0.0006901193,0.00005522808,0.00002177853,0.0003338451,0.0003733978,0.0001552289,0.0005834324,0.9798664,0.0000708093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003339531,0.00003308711,0.00001325258,0.00007884616,0.00001550698,0.000007831114,0.999196,0.00004590507,0.0005761537],"genre_scores_gemma":[0.0004984983,0.000167329,0.000214001,0.00009577207,0.00001226498,0.00007320676,0.9962826,0.00008292936,0.002573413],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09223177,"threshold_uncertainty_score":0.3317016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352973314174536,"score_gpt":0.2436577373670551,"score_spread":0.2101280042253098,"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."}}