{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01164578,0.0001061713,0.0002231414,0.0001595041,0.0004012272,0.00006111828,0.001173816,0.00004552145,0.000006419304],"category_scores_gemma":[0.0004134719,0.00008405599,0.00005549793,0.0003641261,0.00003200735,0.0004741879,0.0003563675,0.0009123886,0.00000385351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003018533,"about_ca_system_score_gemma":0.001149133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006779907,"about_ca_topic_score_gemma":0.002267204,"domain_scores_codex":[0.9972465,0.0002485343,0.0005164387,0.0004854859,0.0006038145,0.0008992248],"domain_scores_gemma":[0.9988745,0.0002365666,0.0002185051,0.0005024701,0.0001072768,0.00006062089],"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":[0.001085891,0.000540829,0.008890911,0.00001205434,0.00009947633,0.000001676138,0.002412177,0.262869,0.002769116,0.3884424,0.0006630181,0.3322135],"study_design_scores_gemma":[0.0005634612,0.00003761467,0.0001756524,9.813189e-7,0.000004072861,0.00005088439,0.0001956469,0.5463765,0.00001489753,0.4517029,0.0008137496,0.00006361681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7100076,0.003749578,0.2841892,0.001558041,0.00005660248,0.0003270137,0.00008397357,0.00001034516,0.00001763019],"genre_scores_gemma":[0.9966186,0.0009549976,0.001476682,0.0001192165,0.00006490936,0.00007464033,0.00002112717,0.00001116078,0.0006586329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3321498,"threshold_uncertainty_score":0.4036218,"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."}}