{"id":"W2048070280","doi":"10.1016/j.insmatheco.2013.05.002","title":"Optimal reinsurance subject to Vajda condition","year":2013,"lang":"en","type":"article","venue":"Insurance Mathematics and Economics","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Reinsurance; Subject (documents); Computer science; Mathematical economics; Actuarial science; Economics; Library 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002338525,0.0007943442,0.002161311,0.0008104788,0.0005376621,0.002351645,0.001028371,0.001917717,0.006764806],"category_scores_gemma":[0.01148454,0.0005964544,0.0007154237,0.0004243888,0.001050666,0.002739799,0.001413127,0.001965964,0.0004732898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096049,"about_ca_system_score_gemma":0.002359919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0034878,"about_ca_topic_score_gemma":0.001359031,"domain_scores_codex":[0.9989176,0.0003642545,0.00006765023,0.0001928082,0.0001277818,0.0003299197],"domain_scores_gemma":[0.9954288,0.002864412,0.0005629468,0.0002096442,0.0004732422,0.0004609264],"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":[0.0007199103,0.0003170176,0.00277441,0.0003989079,0.000135302,0.0007242072,0.0002050148,0.1708623,0.007387727,0.7835296,0.01257548,0.02037022],"study_design_scores_gemma":[0.0001916628,0.0001435291,0.002052406,0.00009189901,0.00008099106,0.0003012922,0.0002058284,0.6888915,0.001735379,0.3043804,0.00187746,0.00004765526],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5619635,0.004477783,0.3524447,0.01887834,0.0009452227,0.0002517963,0.00141735,0.0007123706,0.05890886],"genre_scores_gemma":[0.9777288,0.0008414737,0.009297638,0.0002904125,0.0002043551,0.00006825242,0.0001731528,0.0000643276,0.01133163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006764806,"threshold_uncertainty_score":0.02263051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756117841655995,"score_gpt":0.2054205116364144,"score_spread":0.1878593332198545,"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."}}