{"id":"W3088695585","doi":"10.1007/978-3-030-51434-1_12","title":"Pensionization: From Benefits to Utility","year":2020,"lang":"en","type":"book-chapter","venue":"Use R!","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Annuity; Pension; Pooling; Social security; Actuarial science; Economics; Life annuity; Longevity risk; Government (linguistics); Public economics; Pension insurance; Finance; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004436909,0.0004185399,0.0002782861,0.0008967659,0.0006853078,0.0036489,0.0004416011,0.0008013067,0.06399195],"category_scores_gemma":[0.001245662,0.0002060239,0.0001933193,0.001205586,0.0007343881,0.004105944,0.001377075,0.00160192,0.02328253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147139,"about_ca_system_score_gemma":0.00130372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005416357,"about_ca_topic_score_gemma":0.007950858,"domain_scores_codex":[0.9997572,0.00005514584,0.000008638758,0.00003359434,0.0001080254,0.00003752469],"domain_scores_gemma":[0.9998422,0.00004284948,0.000009931739,0.00002676771,0.0000518548,0.00002642963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001811096,0.00002937519,0.0002089255,0.00009481994,0.000002068052,0.00002832546,0.0003946139,0.0002237645,0.0001731984,0.3956131,0.3159607,0.287253],"study_design_scores_gemma":[0.000001569191,0.00001029078,0.0004087054,0.00009364518,0.000001426342,0.00004104573,0.00009462352,0.0001358584,0.0001115429,0.03299957,0.966098,0.000003520609],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001630807,0.009930926,0.002788581,0.003453453,0.0005596886,0.00002120603,0.0002582792,0.0002631941,0.9810939],"genre_scores_gemma":[0.02450725,0.006348269,0.0009909971,0.0007923728,0.0003354596,0.00003056546,0.0002530859,0.0002025666,0.9665395],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06399195,"threshold_uncertainty_score":0.2140744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04969062282089098,"score_gpt":0.2103906690363589,"score_spread":0.1607000462154679,"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."}}