{"id":"W1974022228","doi":"10.1109/tpwrd.2015.2409887","title":"Intrusion Evaluation of Communication Network Architectures for Power Substations","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Calgary; National Science Foundation","keywords":"Power network; Computer science; Telecommunications network; Electric power system; Intrusion; Electrical engineering; Power (physics); Engineering; Computer network; Reliability engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004916491,0.0001117737,0.0001227919,0.0001246016,0.0001214471,0.00001342512,0.0001444859,0.00008686371,0.00006358726],"category_scores_gemma":[0.0000145352,0.0001117887,0.00008221815,0.0002257255,0.00006181992,0.00007216544,0.000001039512,0.0001595856,0.00001343842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008630472,"about_ca_system_score_gemma":0.00005960421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001753166,"about_ca_topic_score_gemma":0.0001302595,"domain_scores_codex":[0.9990809,0.0000863626,0.0002294201,0.0001190923,0.0003262146,0.0001580161],"domain_scores_gemma":[0.9990896,0.0001822102,0.00003936401,0.0003044465,0.0003144826,0.0000699146],"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":[0.00005924171,0.00006019731,0.000008639911,0.000008885749,0.00003651749,1.106148e-7,0.001822775,0.9919901,0.0006975427,0.00005299189,0.001561002,0.003702036],"study_design_scores_gemma":[0.003134279,0.0005595761,0.002349187,0.000242732,0.0003417577,0.00001411787,0.001469795,0.9338031,0.04742568,0.00585832,0.004151831,0.0006495851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6739537,0.0005988941,0.3230679,0.00005601208,0.0009054436,0.0004076138,0.00004063804,0.000106135,0.0008637573],"genre_scores_gemma":[0.9980697,0.00005710021,0.001683393,0.00003856154,0.00002101059,0.00008287976,0.00001017399,0.00001924903,0.00001790201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3241161,"threshold_uncertainty_score":0.4558612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03004595559942421,"score_gpt":0.2606972564497061,"score_spread":0.2306513008502819,"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."}}