{"id":"W2077473002","doi":"10.1239/jap/1238592120","title":"Dependent Risk Models with Bivariate Phase-Type Distributions","year":2009,"lang":"en","type":"article","venue":"Journal of Applied Probability","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Mathematics; Bivariate analysis; Ruin theory; Risk model; Penalty method; Applied mathematics; Type (biology); Joint probability distribution; Flow (mathematics); Extension (predicate logic); Estimator; Connection (principal bundle); Mathematical economics; Statistics; Mathematical optimization; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009079669,0.0002589753,0.0006931724,0.0001851512,0.0003471282,0.0002457417,0.00110328,0.0001605478,0.0001184498],"category_scores_gemma":[0.0009860743,0.0001489621,0.0002395506,0.001014842,0.0002426342,0.0007394245,0.00008245044,0.0007421011,0.00003840216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002136673,"about_ca_system_score_gemma":0.0005067733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001074731,"about_ca_topic_score_gemma":0.00002646123,"domain_scores_codex":[0.9951073,0.0002892702,0.001659266,0.0005541511,0.001979109,0.0004108894],"domain_scores_gemma":[0.9952122,0.0006296946,0.0013676,0.001014558,0.001423473,0.000352504],"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":[0.01264894,0.00738866,0.003276545,0.00002435599,0.0002557965,0.0000466311,0.002534788,0.3968788,0.002175886,0.3453359,0.002071839,0.2273619],"study_design_scores_gemma":[0.001874746,0.001029784,0.002385651,0.00001283172,0.00008486298,0.00004650806,0.00008648491,0.008505441,0.001187438,0.9838581,0.0007291329,0.0001990081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6874211,0.0000997165,0.3066319,0.0009231079,0.0001710364,0.0004673829,0.00006357401,0.00003237591,0.004189824],"genre_scores_gemma":[0.9717678,0.00004259279,0.02793379,0.00009954904,0.0001114186,0.000004090813,0.000002881616,0.0000074835,0.00003037988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6385222,"threshold_uncertainty_score":0.6074499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09780038774902677,"score_gpt":0.3584322818724084,"score_spread":0.2606318941233817,"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."}}