{"id":"W1524344671","doi":"10.2139/ssrn.342860","title":"A Derivative Valuation of the Florida Pension Election: From DB to DC and Back","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Pension; Valuation (finance); Derivative (finance); Pension fund; Actuarial science; Valuation effects; Economics; Business; Financial system; Financial economics; Finance","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":[0.0007504473,0.0002114661,0.0002285102,0.001257783,0.0007694957,0.002967081,0.0003627388,0.0006195602,0.009831072],"category_scores_gemma":[0.006951401,0.0001111669,0.0001884724,0.001641263,0.0003445765,0.002257127,0.0005066659,0.001040591,0.0006771223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002222707,"about_ca_system_score_gemma":0.0009193776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06037661,"about_ca_topic_score_gemma":0.1151922,"domain_scores_codex":[0.9997669,0.0000489257,0.000009206651,0.00003642058,0.00008441406,0.00005417183],"domain_scores_gemma":[0.9986618,0.0004966307,0.0001541379,0.0001036147,0.0004414108,0.000142395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002287869,0.0004009973,0.1853353,0.0002518982,0.0001583504,0.001064857,0.002730484,0.02294523,0.003416837,0.3485043,0.20959,0.2233139],"study_design_scores_gemma":[0.0001795987,0.0006988232,0.4385803,0.0002272298,0.0004131669,0.0006079222,0.01296011,0.1146068,0.005913234,0.1189156,0.3066793,0.0002179588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8366364,0.001641671,0.003256215,0.006198842,0.0004554868,0.00004214027,0.007868155,0.00008500561,0.1438163],"genre_scores_gemma":[0.9815787,0.0002805031,0.0004302064,0.00008596546,0.00008467297,0.000007987071,0.001368753,0.00002031539,0.01614279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06037661,"threshold_uncertainty_score":0.1200504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370197836967855,"score_gpt":0.2199308953107881,"score_spread":0.2062289169411095,"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."}}