{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001571879,0.001247741,0.00233416,0.0003506466,0.0002338643,0.0002127037,0.001540532,0.001018091,0.005006984],"category_scores_gemma":[0.002482314,0.001256471,5.204842e-7,0.001906919,0.0005857782,0.0007155398,0.0006804237,0.0007134481,0.0000126193],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005945406,"about_ca_system_score_gemma":0.01771855,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970507,"about_ca_topic_score_gemma":0.9967479,"domain_scores_codex":[0.9916386,0.001278177,0.002207278,0.001705943,0.001993004,0.001176997],"domain_scores_gemma":[0.9881182,0.00149005,0.00384469,0.00352329,0.002079119,0.0009446068],"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":[0.0008307251,0.0001791648,0.002901458,0.001496505,0.0008680168,0.0001222445,0.00001193869,0.00003112785,0.0002617234,0.001755814,0.9915335,0.000007822503],"study_design_scores_gemma":[0.003753355,0.0002434115,0.0003018747,0.0002755344,0.001293144,0.0002616768,0.0001785294,0.0008690257,0.000002686617,3.59853e-7,0.9916301,0.001190287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004864788,0.006787312,0.00001776608,0.000007715607,0.0007985516,0.001315773,0.9903324,0.0001174376,0.0005743635],"genre_scores_gemma":[0.000721844,0.002302106,0.0001714539,0.0001394537,0.00009943481,0.000006108844,0.9940239,0.0007050822,0.001830634],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01712401,"threshold_uncertainty_score":0.9989885,"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."}}