{"id":"W2120558174","doi":"10.1017/s1748499500000166","title":"Optimal Dividends Under a Ruin Probability Constraint","year":2006,"lang":"en","type":"article","venue":"Annals of Actuarial Science","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dividend; Constraint (computer-aided design); Probabilistic logic; Mathematical economics; Value (mathematics); Economics; Payment; Present value; Probability distribution; Econometrics; Mathematics; Actuarial science; Statistics; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01337579,0.0001766223,0.0003876846,0.0002718687,0.0003986548,0.0003797474,0.002004861,0.0001057944,0.00039459],"category_scores_gemma":[0.004767449,0.0001194103,0.0002137013,0.001830369,0.004433677,0.001307518,0.0004316671,0.0001680014,0.00007843254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003947574,"about_ca_system_score_gemma":0.000860433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008040976,"about_ca_topic_score_gemma":0.0001764589,"domain_scores_codex":[0.9945256,0.000194928,0.0009913713,0.0008989273,0.002757484,0.0006317036],"domain_scores_gemma":[0.9964798,0.0008058088,0.0003764884,0.0009730397,0.001149406,0.0002154775],"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":[0.0004024442,0.001386301,0.009692046,0.00001823507,0.00001679191,0.000008852217,0.001510373,0.0859162,0.0338176,0.7886012,0.009501415,0.06912859],"study_design_scores_gemma":[0.0002675088,0.0001927969,0.04641498,0.00001406105,0.000005344995,0.000007043468,0.0001591661,0.003748474,0.02223914,0.9249228,0.0018075,0.0002211793],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595174,0.00005288204,0.02133305,0.005898526,0.0004360964,0.0002924024,0.00003032553,0.00004207186,0.01239729],"genre_scores_gemma":[0.9944311,0.000004720157,0.004952262,0.0002641476,0.0001347685,0.000006720393,9.860461e-7,0.000004169264,0.0002011745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1363216,"threshold_uncertainty_score":0.9982757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2618484073940352,"score_gpt":0.4290878408158331,"score_spread":0.1672394334217979,"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."}}