{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0172925,0.002512026,0.003416472,0.003157977,0.001943107,0.003548507,0.006169273,0.004028192,0.007770413],"category_scores_gemma":[0.02886994,0.001780367,0.004295709,0.003814967,0.002366873,0.003536973,0.003211808,0.005238568,0.001517511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002908671,"about_ca_system_score_gemma":0.003831983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03806242,"about_ca_topic_score_gemma":0.03223461,"domain_scores_codex":[0.9866072,0.008988533,0.0005729572,0.002278595,0.0008309423,0.0007217183],"domain_scores_gemma":[0.9670302,0.02730587,0.002227959,0.001098627,0.001898885,0.0004383702],"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":[0.0009934219,0.0006088375,0.04195407,0.0006391336,0.00181519,0.001109806,0.001543499,0.6975077,0.001333679,0.1666784,0.005644838,0.08017147],"study_design_scores_gemma":[0.00007722837,0.0002746305,0.002381361,0.00006684929,0.000162,0.00008590719,0.0002056477,0.9658374,0.0001937603,0.02820987,0.002423053,0.00008221223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06942219,0.001039588,0.9228383,0.001674387,0.0002844234,0.0005540242,0.001831465,0.0008958996,0.001459801],"genre_scores_gemma":[0.5786816,0.001528009,0.3999361,0.0007615396,0.0003801227,0.003618472,0.003835664,0.0002486433,0.01100986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03806242,"threshold_uncertainty_score":0.0914526,"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."}}