{"id":"W4309849231","doi":"10.3390/risks10120224","title":"A Generalized Linear Mixed Model for Data Breaches and Its Application in Cyber Insurance","year":2022,"lang":"en","type":"article","venue":"Risks","topic":"Information and Cyber Security","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Data breach; Computer science; Computer security; Analytics; Risk management; Actuarial science; Data science; Business; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003577039,0.00005299009,0.0000735093,0.00004571341,0.0001178591,0.00002840092,0.0005600963,0.00002003268,0.000001669478],"category_scores_gemma":[0.00001173833,0.00005500293,0.00001179297,0.0001467578,0.000006356134,0.0004422183,0.0004468712,0.00008106336,0.000003724209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001926609,"about_ca_system_score_gemma":0.00003279663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001064837,"about_ca_topic_score_gemma":0.0000742486,"domain_scores_codex":[0.9994134,0.00002934959,0.0001441009,0.0001930148,0.0001145225,0.000105618],"domain_scores_gemma":[0.9994798,0.00002024788,0.00005677494,0.0003930852,0.0000240863,0.00002604204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001309809,0.0004133497,0.00479969,0.000122169,0.00003436104,0.000002209296,0.03006769,0.07119682,0.001037705,0.5562087,0.0068806,0.3291057],"study_design_scores_gemma":[0.0004815861,0.000007013754,0.001805256,0.000001024783,0.000001088759,0.000002697837,0.00001971001,0.9893747,0.0001207049,0.001641381,0.006472794,0.0000720243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3864311,0.0002087795,0.6119229,0.0006236766,0.0000679765,0.0003863189,0.0001275487,0.00005804559,0.0001736082],"genre_scores_gemma":[0.9821023,0.00002023586,0.01711301,0.0004323515,0.00001377631,0.0001644686,0.00009075208,0.000003351596,0.00005972693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9181779,"threshold_uncertainty_score":0.2242955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09414441132079525,"score_gpt":0.318691204330746,"score_spread":0.2245467930099507,"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."}}