{"id":"W2951269124","doi":"10.48550/arxiv.1212.5126","title":"On a Generalization of the Expected Discounted Penalty Function to Include Deficits at and Beyond Ruin","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Subordinator; Mathematics; Brownian motion; Mathematical economics; Jump; Penalty method; Applied mathematics; Generalization; Laplace transform; Mathematical optimization; Mathematical analysis; Statistics; Physics","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":[0.0008937625,0.0002254305,0.0003295991,0.0002848072,0.0003023176,0.00005897758,0.0007860522,0.0002525797,0.000133101],"category_scores_gemma":[0.0005011821,0.0001565219,0.0001631221,0.0008900122,0.0001741398,0.0002201368,0.00203489,0.0002605365,0.00005381934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002299476,"about_ca_system_score_gemma":0.00009186718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000179309,"about_ca_topic_score_gemma":0.0008458831,"domain_scores_codex":[0.9977726,0.0004348986,0.0003564677,0.0008248838,0.0003863733,0.0002247868],"domain_scores_gemma":[0.9976551,0.0003402339,0.000413617,0.00110329,0.0003413631,0.0001464176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001052128,0.0003444796,0.06153121,0.00005679658,0.0000933702,0.000005202486,0.003084809,0.7468088,0.001636331,0.1827197,0.001874656,0.0007924809],"study_design_scores_gemma":[0.001178216,0.0002183244,0.1634516,0.0001868023,0.0003107513,0.000004429119,0.0007654358,0.1313973,0.001958264,0.6988153,0.0008881461,0.0008253346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316405,0.00007032882,0.06578436,0.0001548987,0.0005010362,0.0004675048,0.00006559218,0.0000276572,0.001288116],"genre_scores_gemma":[0.9977831,0.00003516963,0.00007051364,0.0001626008,0.00003877679,0.000001469096,0.00001591353,0.00001081376,0.001881664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6154115,"threshold_uncertainty_score":0.6382778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1601054094999774,"score_gpt":0.2555577532757957,"score_spread":0.09545234377581827,"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."}}