{"id":"W6957932651","doi":"10.6068/dp14ba8c183e516","title":"Trend 1974 - 2012. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs), members and market value of assets, by funding instrument, sector, type of plan and contributory status | Variable: Insurance company contract not fully guaranteed, Members, females, Private sector 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; Social security; Wages and salaries; Value (mathematics); Economic statistics; 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":[0.001903057,0.002485312,0.002817125,0.008824199,0.003257841,0.005125988,0.004966202,0.001587753,0.09223595],"category_scores_gemma":[0.01831498,0.001909348,0.001950715,0.04140935,0.0006595348,0.002528305,0.00228139,0.003248053,0.06038709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04914351,"about_ca_system_score_gemma":0.1213597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936063,"about_ca_topic_score_gemma":0.991771,"domain_scores_codex":[0.9958209,0.0002316245,0.0004484992,0.0005881759,0.001952624,0.0009581461],"domain_scores_gemma":[0.9689417,0.00125474,0.001077598,0.001020198,0.02624927,0.001456565],"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":[0.0000189468,0.000005533087,0.0007239748,0.0001935499,0.0000178082,0.000005508962,0.00001713951,0.00009024114,0.000008285357,0.0002946902,0.9974726,0.001151706],"study_design_scores_gemma":[0.0001570278,0.000009488331,0.01752694,0.000717871,0.00006067579,0.00002148488,0.000344329,0.0003439694,0.0001712052,0.0005711597,0.9800029,0.00007301983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003563636,0.00003982498,0.0000151077,0.00008492432,0.00001869362,0.000008939953,0.9991218,0.00004693962,0.0006279824],"genre_scores_gemma":[0.0005491418,0.0001968447,0.0002482162,0.000108727,0.00001413428,0.00008097633,0.9954773,0.00008715159,0.003237502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09223595,"threshold_uncertainty_score":0.3565628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05150307369834116,"score_gpt":0.2606027725501679,"score_spread":0.2090996988518268,"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."}}