{"id":"W3121381330","doi":"10.3390/risks4040037","title":"A Note on Realistic Dividends in Actuarial Surplus Models","year":2016,"lang":"en","type":"article","venue":"Risks","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Australian Research Council; University of New South Wales","keywords":"Dividend; Economics; Value (mathematics); Dividend policy; Cash; Present value; Actuarial science; Financial economics; Mathematical economics; Mathematics; Finance; Statistics","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":[0.003981818,0.0008484914,0.001392359,0.0005719308,0.0007086695,0.002511768,0.001718328,0.002698228,0.004844439],"category_scores_gemma":[0.01341055,0.0005894059,0.001640536,0.0007787306,0.002310119,0.005332519,0.001770772,0.006178884,0.00118417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321036,"about_ca_system_score_gemma":0.0006626314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495483,"about_ca_topic_score_gemma":0.001568809,"domain_scores_codex":[0.9984143,0.0008793123,0.00008740005,0.0001595998,0.0003675595,0.00009184305],"domain_scores_gemma":[0.992685,0.005928773,0.0004164074,0.0005292819,0.0002905437,0.0001499594],"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":[0.00002131018,0.00002139094,0.0002452938,0.0001383538,0.00002371919,0.0001885517,0.0001384056,0.07104731,0.0004273848,0.9148443,0.004989611,0.007914364],"study_design_scores_gemma":[0.000009658172,0.00003218853,0.0001754205,0.000124402,0.00001399647,0.00009941494,0.00002785494,0.1418545,0.0001926356,0.8417315,0.01571415,0.00002415263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02696531,0.03996642,0.7585498,0.03450063,0.001923756,0.00006188233,0.0003115773,0.0003044459,0.1374162],"genre_scores_gemma":[0.7755349,0.03613561,0.1415733,0.00476967,0.005464588,0.0002087125,0.0003153591,0.0004765228,0.03552122],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004844439,"threshold_uncertainty_score":0.02105808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3810247044451999,"score_gpt":0.4567442286534155,"score_spread":0.07571952420821554,"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."}}