{"id":"W4225643129","doi":"10.2139/ssrn.4077521","title":"A Generalized Linear Mixed Model for Data Breaches and its Application in Cyber Insurance","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Data breach; Business; Generalized linear model; Computer security; Internet privacy; Actuarial science; Computer science; Mathematics; 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":[0.0277054,0.003196865,0.005928146,0.003541766,0.002010995,0.006470251,0.008000171,0.007803194,0.01035172],"category_scores_gemma":[0.05073853,0.003012646,0.005460603,0.004171916,0.003604261,0.006259865,0.00582969,0.007938842,0.001967469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002892527,"about_ca_system_score_gemma":0.004176253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01661825,"about_ca_topic_score_gemma":0.01467797,"domain_scores_codex":[0.9816322,0.01346114,0.0006533865,0.002181928,0.001231312,0.0008400176],"domain_scores_gemma":[0.9127467,0.07705098,0.003174433,0.002431711,0.003615821,0.0009803385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005525738,0.0002943047,0.003541193,0.0004456111,0.0007614967,0.0006685535,0.0005944704,0.6639845,0.0005028033,0.2878374,0.004053683,0.03676345],"study_design_scores_gemma":[0.00003596308,0.00009537728,0.0002406012,0.00002645048,0.00008832161,0.00006646208,0.0000559168,0.9619469,0.00007721841,0.03638679,0.0009396481,0.00004041542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009043206,0.0005228034,0.9876853,0.0008718236,0.0001258834,0.0001346877,0.000351958,0.0003173756,0.0009469744],"genre_scores_gemma":[0.4554287,0.002080732,0.51044,0.0009545217,0.0006721944,0.002692981,0.002158854,0.0005267997,0.02504518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0277054,"threshold_uncertainty_score":0.1465219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1291800395952915,"score_gpt":0.370365339162504,"score_spread":0.2411852995672125,"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."}}