{"id":"W3138257635","doi":"10.48550/arxiv.1106.5915","title":"Path decomposition of ruinous behavior for a general Lévy insurance risk process","year":2011,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Lévy process; Mathematics; Convolution (computer science); Martingale (probability theory); Limit (mathematics); Equivalence (formal languages); Asymptotic distribution; Limiting; Mathematical proof; Decomposition; Risk model; Path (computing); Applied mathematics; Mathematical economics; Discrete mathematics; Mathematical analysis; Computer science; 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":[0.00202532,0.001039028,0.0008177318,0.001523539,0.0005724023,0.001570388,0.001332012,0.001422196,0.00622875],"category_scores_gemma":[0.004855615,0.0003510341,0.001331372,0.0008911846,0.002347347,0.002594871,0.001464754,0.002164154,0.0005206061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660654,"about_ca_system_score_gemma":0.001188724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002755656,"about_ca_topic_score_gemma":0.001576026,"domain_scores_codex":[0.9995835,0.0001076941,0.00001847237,0.00008890979,0.000101924,0.0000994908],"domain_scores_gemma":[0.998341,0.0006972849,0.0003379518,0.0001300563,0.0002314969,0.0002621673],"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":[0.00002477436,0.00004260042,0.000986549,0.00005183608,0.00001921738,0.0002136692,0.0001547002,0.05829758,0.001996498,0.9309441,0.0008637725,0.006404621],"study_design_scores_gemma":[0.000006794687,0.00002724022,0.00055813,0.00002191807,0.00001603552,0.0001198182,0.00004819058,0.6615428,0.0005544282,0.3361214,0.0009599318,0.00002326336],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1302049,0.0007006174,0.8504223,0.0009752132,0.00007547353,0.00006884433,0.000141142,0.0001589264,0.01725266],"genre_scores_gemma":[0.9175051,0.00153772,0.05991042,0.0002721606,0.0001684148,0.0001412872,0.0001800287,0.0001212877,0.02016347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00622875,"threshold_uncertainty_score":0.02083725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2240435907387135,"score_gpt":0.2973191889967311,"score_spread":0.07327559825801755,"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."}}