{"id":"W4256739431","doi":"10.2139/ssrn.1083550","title":"Smoothing Mechanisms in Pension Cost Standards: A Simulation Study","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"German Economic Analysis & Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Pension; Smoothing; Econometrics; Actuarial science; Reliability engineering; Economics; Computer science; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003424895,0.0001700253,0.0004555133,0.0005785917,0.0002735241,0.000058049,0.0002405827,0.00007347891,0.0001069287],"category_scores_gemma":[0.0001493673,0.0001965528,0.0001363669,0.0002692938,0.00003006811,0.000406543,0.00004694117,0.0009889541,0.0001650855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002619601,"about_ca_system_score_gemma":0.0004638822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005817382,"about_ca_topic_score_gemma":0.002518595,"domain_scores_codex":[0.9973481,0.00005063693,0.0008443763,0.000306124,0.00009180451,0.001358929],"domain_scores_gemma":[0.9991281,0.00003957228,0.0004805417,0.0002270298,0.00005856991,0.00006621206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001449301,0.0007886746,0.2877709,0.00000703213,0.0004944169,0.00004161135,0.009682106,0.105412,0.00004141615,0.5920683,0.00009290659,0.003455765],"study_design_scores_gemma":[0.003895524,0.0006421195,0.07085196,0.00002305963,0.00003371842,0.0002598513,0.008870544,0.04999235,0.00002180869,0.8616201,0.00309426,0.0006947267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482276,0.001322191,0.04876614,0.0002227106,0.0001356273,0.0002545522,0.000008442184,0.00002136726,0.001041312],"genre_scores_gemma":[0.9982039,0.0009383069,0.00005523451,0.000106998,0.00008927169,0.000008000871,0.000002544752,0.0000292756,0.0005665199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2695518,"threshold_uncertainty_score":0.8015192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210963135857624,"score_gpt":0.2631338390174772,"score_spread":0.231024207658901,"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."}}