{"id":"W4361272465","doi":"10.18280/ijsse.130109","title":"Modelling a Public Administration System for Ensuring Cybersecurity","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Banking, Crisis Management, COVID-19 Impact","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer security; Administration (probate law); Computer science; Medical emergency; Engineering; Political science; Medicine; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007446198,0.0001019328,0.0001523766,0.00008042277,0.00008747387,0.0001566966,0.0002436662,0.0000553512,0.000008958463],"category_scores_gemma":[0.000127347,0.00005573887,0.0001112629,0.0001670567,0.00001064247,0.0003370943,0.00006044088,0.0001282891,0.000001878414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008969256,"about_ca_system_score_gemma":0.00001200929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001918871,"about_ca_topic_score_gemma":0.0000188121,"domain_scores_codex":[0.9990104,0.00001847504,0.0003659865,0.0001222785,0.0003026378,0.0001802631],"domain_scores_gemma":[0.9992709,0.0002344842,0.0001952231,0.00002591465,0.0001845769,0.00008886701],"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":[0.002829664,0.0006295507,0.009619954,0.001409876,0.002814571,0.0007931807,0.008547851,0.4699098,0.0539776,0.3166716,0.001830037,0.1309663],"study_design_scores_gemma":[0.001043626,0.0003381703,0.006031355,0.0004127292,0.00005594537,0.000271553,0.001640002,0.8699321,0.001111209,0.001691531,0.1170361,0.0004357605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800494,0.0001054198,0.01534501,0.003303919,0.0008018693,0.0001340843,0.00006712847,0.00009859484,0.00009455552],"genre_scores_gemma":[0.9989606,0.0001404947,0.0002704009,0.00004069139,0.0005543277,0.000002931245,0.00002309369,0.000001809197,0.000005629825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4000222,"threshold_uncertainty_score":0.2272965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589042970810851,"score_gpt":0.2448369528197997,"score_spread":0.2189465231116912,"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."}}