{"id":"W4368408198","doi":"10.1145/3576841.3589614","title":"PIRAT - Tool for Automated Cyber-risk Assessment of PLC Components &amp; Systems Deploying NVD CVE &amp; MITRE ATT&amp;CK Databases","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Component (thermodynamics); Critical infrastructure; Computer science; Programmable logic controller; Database; Vulnerability (computing); Computer security; Risk analysis (engineering); Operating system; Business","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":[0.002331949,0.002715211,0.001110494,0.005657982,0.0004855979,0.00316064,0.003776513,0.001652546,0.03924191],"category_scores_gemma":[0.01219819,0.001065333,0.001863561,0.001741785,0.0006811692,0.003344369,0.0035489,0.001586734,0.01426693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054448,"about_ca_system_score_gemma":0.001394844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002593079,"about_ca_topic_score_gemma":0.002339362,"domain_scores_codex":[0.9979157,0.0003544427,0.0002557542,0.0003620622,0.0009807391,0.000131338],"domain_scores_gemma":[0.9949493,0.002848842,0.0005452784,0.0008980421,0.0006100374,0.0001485909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008861688,0.0005019363,0.01050213,0.00488001,0.0006480864,0.002312877,0.001125635,0.1438673,0.01056599,0.0381208,0.3427916,0.4437975],"study_design_scores_gemma":[0.0003949403,0.0002152391,0.005419148,0.0006057845,0.0001891494,0.002111734,0.0003103101,0.6144655,0.02845639,0.04784635,0.2997078,0.0002777168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006508613,0.0003812053,0.5326979,0.0002322101,0.0000946965,0.0006603865,0.0256189,0.4218833,0.01192279],"genre_scores_gemma":[0.2281606,0.001265147,0.5637735,0.0006076618,0.0001286899,0.002845941,0.137077,0.04378155,0.0223598],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03924191,"threshold_uncertainty_score":0.1312773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05757462757142046,"score_gpt":0.3162935662938664,"score_spread":0.2587189387224459,"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."}}