{"id":"W2773037341","doi":"10.2495/safe-v8-n2-246-257","title":"Cyber incident exercise for safety protection in critical infrastructure","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Information and Cyber Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Council for Science, Technology and Innovation","keywords":"Critical infrastructure; Critical infrastructure protection; Occupational safety and health; Cyber-physical system; Computer security; Poison control; Medical emergency; Business; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000464896,0.00009079481,0.0001413167,0.0002255046,0.000052001,0.0001035726,0.0003571994,0.00006941784,0.000014438],"category_scores_gemma":[0.0002225425,0.00008562457,0.00005827229,0.0001122707,0.00003148614,0.001023069,0.00009628292,0.0002242828,0.000001656232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089635,"about_ca_system_score_gemma":0.00004569123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000854788,"about_ca_topic_score_gemma":0.000009818248,"domain_scores_codex":[0.9990193,0.00001251268,0.0004561312,0.00009554587,0.0002833387,0.0001331691],"domain_scores_gemma":[0.9991957,0.00006428231,0.0001118682,0.00007532405,0.0004807276,0.00007211058],"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":[0.001633466,0.000213062,0.001033383,0.0002172744,0.0001589186,0.00008661403,0.03431761,0.008578292,0.001132002,0.7758294,0.000405202,0.1763947],"study_design_scores_gemma":[0.003400706,0.0003554428,0.05594446,0.0007145932,0.00001739368,0.0009225972,0.0002830788,0.8363189,0.003453296,0.02613651,0.07195706,0.0004960026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04224123,0.0001014625,0.9530063,0.002296187,0.001906724,0.0001496291,0.000009457607,0.00002586674,0.0002631431],"genre_scores_gemma":[0.9900126,0.0001039758,0.009432353,0.0001310168,0.0003075772,0.000002979711,0.000001487518,0.000004149754,0.000003812377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9477714,"threshold_uncertainty_score":0.3491668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007201609715365271,"score_gpt":0.2516661813413777,"score_spread":0.2444645716260124,"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."}}