{"id":"W3041894101","doi":"10.1109/mdat.2020.3007729","title":"Runtime Protection of Real-time Critical Control Applications against Known Threats","year":2020,"lang":"en","type":"article","venue":"IEEE Design and Test","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Computer security; Control (management); Artificial intelligence","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":[0.0003105235,0.0001325366,0.0002465366,0.00005158031,0.0001153541,0.000111933,0.0002972721,0.00007701763,0.000005743714],"category_scores_gemma":[0.0001838689,0.0001231038,0.00004574979,0.0003069259,0.00008106492,0.0002944454,0.00003285308,0.0001033424,0.0001418644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001577625,"about_ca_system_score_gemma":0.00006820599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002237442,"about_ca_topic_score_gemma":2.417326e-7,"domain_scores_codex":[0.9988251,0.0001170899,0.0002940111,0.0003782618,0.0001878667,0.0001976631],"domain_scores_gemma":[0.9986207,0.0006749135,0.00009354867,0.0003044305,0.0001375435,0.000168853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002272662,0.0001640823,0.0002327383,0.0001466772,0.00003488491,0.00001470061,0.0005123958,0.0007549518,0.9613909,0.009795068,0.0003865888,0.02654432],"study_design_scores_gemma":[0.0009793037,0.0005399684,0.0007542066,0.00009208291,0.00003498936,0.00003887934,0.00001806488,0.9525049,0.04199878,0.002317543,0.0003662858,0.0003549325],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001560066,0.00009794138,0.9940354,0.001353366,0.00004831108,0.0009442319,0.000004974227,0.0002148936,0.00174078],"genre_scores_gemma":[0.9619381,0.0000176371,0.03754564,0.0001263628,0.0001470671,0.0001685283,9.039902e-7,0.00001267836,0.00004302012],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9603781,"threshold_uncertainty_score":0.5020027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03317008555511679,"score_gpt":0.2574221427157394,"score_spread":0.2242520571606226,"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."}}