{"id":"W2076375040","doi":"10.1080/10920277.2005.10596228","title":"On a Classical Risk Model with a Constant Dividend Barrier","year":2005,"lang":"en","type":"article","venue":"North American Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Dividend; Ruin theory; Risk model; Laplace transform; Constant (computer programming); Expression (computer science); Mathematics; Mathematical economics; Distribution (mathematics); Econometrics; Economics; Joint probability distribution; First-hitting-time model; Value (mathematics); Applied mathematics; Mathematical analysis; Statistics; Computer science; 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":[0.002941874,0.001024783,0.001901028,0.001355053,0.0006629735,0.003224554,0.00255773,0.00288096,0.004654394],"category_scores_gemma":[0.00468892,0.0006114178,0.00106605,0.0009123559,0.003266284,0.004001773,0.001693419,0.002053085,0.0005562092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002781648,"about_ca_system_score_gemma":0.001157301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00808116,"about_ca_topic_score_gemma":0.003856321,"domain_scores_codex":[0.9989146,0.0003654883,0.00002960585,0.000207046,0.0002088967,0.0002743882],"domain_scores_gemma":[0.9974295,0.001371828,0.0003745704,0.0001408974,0.0002730866,0.0004100958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001512859,0.0001219556,0.0009115292,0.00008407753,0.00005085758,0.0006737493,0.0001224113,0.5197315,0.001786006,0.4721659,0.001095266,0.003105467],"study_design_scores_gemma":[0.00003414459,0.00004751379,0.0002935774,0.00001490607,0.00001957857,0.00008058816,0.00004271927,0.9064394,0.0001474684,0.09242369,0.0004214946,0.00003487183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5207603,0.002200168,0.4292329,0.005052669,0.0002373355,0.00008929405,0.0004312893,0.0002498171,0.04174627],"genre_scores_gemma":[0.9792044,0.0005735793,0.007063583,0.0001730178,0.0001540434,0.00003564216,0.00006925609,0.00003408067,0.01269239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00808116,"threshold_uncertainty_score":0.02018231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04899585525175493,"score_gpt":0.3290035760297426,"score_spread":0.2800077207779876,"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."}}