{"id":"W2782170141","doi":"10.2139/ssrn.3088728","title":"Valuation of a Early Exercise Defined Benefit (DB) Underpin Hybrid Pension Benefit","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Society of Actuaries","keywords":"Valuation (finance); Pension; Actuarial science; Business; Economics; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001156428,0.0003611463,0.0002946086,0.0006224868,0.0001930561,0.002074604,0.0005438223,0.0006951835,0.006727936],"category_scores_gemma":[0.00248286,0.000137049,0.0002726486,0.0003268443,0.0002694943,0.001025426,0.0008222492,0.0005891445,0.0005279032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005561962,"about_ca_system_score_gemma":0.0004737642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005621184,"about_ca_topic_score_gemma":0.0004323398,"domain_scores_codex":[0.9995438,0.0001469136,0.0000160046,0.00006383525,0.0001602304,0.00006909112],"domain_scores_gemma":[0.9991591,0.0003621094,0.00006054555,0.0001082911,0.0001582766,0.0001517109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.006044806,0.001099193,0.03424967,0.0004110211,0.0001828449,0.001747701,0.0006782108,0.2782916,0.08431812,0.2400928,0.00481696,0.348067],"study_design_scores_gemma":[0.0002199795,0.00325534,0.0447126,0.0001473031,0.0002282692,0.001226989,0.0005292991,0.8374666,0.01981786,0.06707075,0.02521593,0.0001091189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7992195,0.0007901342,0.1476943,0.0004562321,0.0001424009,0.0002141363,0.0005791172,0.0001968161,0.05070731],"genre_scores_gemma":[0.9873224,0.00006983292,0.006642914,0.00001127411,0.00001988212,0.0000170729,0.0001041686,0.000009014279,0.005803451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006727936,"threshold_uncertainty_score":0.02250719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069270458115516,"score_gpt":0.2429944121513127,"score_spread":0.2223017075701575,"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."}}