{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003937851,0.001339992,0.001309717,0.001178956,0.0006472289,0.002120147,0.002072976,0.002206132,0.003379287],"category_scores_gemma":[0.0145433,0.0003905298,0.001226582,0.001028024,0.002489063,0.006116047,0.001906712,0.003590652,0.0003763716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513934,"about_ca_system_score_gemma":0.001275446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001690646,"about_ca_topic_score_gemma":0.001063263,"domain_scores_codex":[0.9989948,0.0003679337,0.00005301614,0.0001802747,0.0002620846,0.0001418589],"domain_scores_gemma":[0.9957494,0.002492174,0.0003968237,0.0004606614,0.0005237928,0.0003771176],"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":[0.00004816944,0.00003702116,0.001033162,0.00008004621,0.00003045461,0.000208056,0.0001071708,0.271233,0.001198825,0.7054636,0.001259235,0.01930127],"study_design_scores_gemma":[0.000005147839,0.00003261879,0.0003324009,0.00003512405,0.00001111078,0.0001115466,0.00001723535,0.7760367,0.0003524396,0.2208023,0.002240616,0.00002283298],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02316542,0.0006572858,0.9700165,0.0005905502,0.0001297874,0.00002994694,0.0000612488,0.00008221187,0.005266954],"genre_scores_gemma":[0.7336391,0.002268423,0.2464787,0.0005920352,0.0006223561,0.0001942937,0.0002498814,0.0002663835,0.01568888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003937851,"threshold_uncertainty_score":0.02082562,"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."}}