{"id":"W3121453267","doi":"10.1017/asb.2017.42","title":"ON THE DISTRIBUTION OF THE EXCEDENTS OF FUNDS WITH ASSETS AND LIABILITIES IN PRESENCE OF SOLVENCY AND RECOVERY REQUIREMENTS","year":2018,"lang":"en","type":"article","venue":"Astin Bulletin","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Solvency; Business; Distribution (mathematics); Actuarial science; Finance; Mathematics; Market liquidity","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":[0.0005328903,0.00006380871,0.0001673726,0.00003522653,0.00004282003,0.000007501285,0.0001186717,0.00002836399,0.00004774792],"category_scores_gemma":[0.0002939797,0.00004405012,0.00002094898,0.000116756,0.000260979,0.00003346887,0.00008100643,0.00005059532,0.000003783426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001475588,"about_ca_system_score_gemma":0.000006760119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003873986,"about_ca_topic_score_gemma":0.00006683229,"domain_scores_codex":[0.999366,0.00002074318,0.000316454,0.0001445762,0.00004990588,0.0001022847],"domain_scores_gemma":[0.9993654,0.0001119407,0.0002816523,0.0001976425,0.00003459003,0.000008773618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001572283,0.0001039215,0.8836102,0.0001177199,0.00001641712,2.64967e-7,0.0005756583,0.00002271093,0.00003262292,0.1121457,0.001148447,0.002069117],"study_design_scores_gemma":[0.0003132961,0.0003492778,0.983377,0.000194411,0.000003402339,2.317193e-7,0.0001235967,0.00005098835,0.000540452,0.01229778,0.00268771,0.0000618858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995231,0.0001778475,0.0002334772,0.000415873,0.00007907829,0.0001946628,0.00007652246,0.000001438668,0.003590078],"genre_scores_gemma":[0.999541,0.0001450747,0.00003878681,0.00002781975,0.00001188358,0.00001056321,0.000001709547,0.000004003526,0.0002190921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09984789,"threshold_uncertainty_score":0.1796312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945146560864609,"score_gpt":0.2025269942274444,"score_spread":0.1830755286187984,"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."}}