{"id":"W2017179140","doi":"10.1109/smartgridcomm.2011.6102320","title":"Specification-based Intrusion Detection for home area networks in smart grids","year":2011,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Intrusion detection system; Smart grid; Resilience (materials science); Computer network; Grid; Computer security; Home automation; Event (particle physics); Access control; Embedded system; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002603234,0.0003387596,0.0004624228,0.0006024913,0.0003821563,0.001261081,0.0006501699,0.0005063463,0.0004150282],"category_scores_gemma":[0.006686068,0.0002552037,0.0003588861,0.0003270033,0.0006569242,0.001486437,0.0006700548,0.0006997425,0.0001803732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000728253,"about_ca_system_score_gemma":0.0008115832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001889287,"about_ca_topic_score_gemma":0.00213003,"domain_scores_codex":[0.9978651,0.0009283653,0.0002278438,0.0001480565,0.0007218149,0.0001087999],"domain_scores_gemma":[0.997246,0.001307338,0.0003775649,0.00047514,0.0005336445,0.00006030263],"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":[0.0007985024,0.0003762989,0.02445878,0.0003494154,0.000228312,0.0005720826,0.0007869768,0.5085466,0.05262273,0.09634606,0.003812722,0.3111015],"study_design_scores_gemma":[0.00001348049,0.0001017659,0.0008343075,0.00001523729,0.00001890813,0.0001214781,0.00004392043,0.9762817,0.01556426,0.005187203,0.001797993,0.00001965784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07259264,0.0003114196,0.9220001,0.000298616,0.00004547898,0.0001736422,0.00004715865,0.002596561,0.001934418],"genre_scores_gemma":[0.8000191,0.0002373647,0.198316,0.0001092922,0.00001685153,0.0001452683,0.0001842643,0.0000374391,0.0009344111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002603234,"threshold_uncertainty_score":0.01376736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071308033253218,"score_gpt":0.1875413793711043,"score_spread":0.1668282990385721,"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."}}