{"id":"W4241752532","doi":"10.32920/ryerson.14656977","title":"An Intrusion Detection System for Smart Grid Neighborhood Area Network","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Intrusion detection system; Smart grid; Distributed computing; Reliability (semiconductor); Grid; Overhead (engineering); Computation; Computer network; Computer security; Engineering; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002224285,0.0003031842,0.0003682277,0.00007209042,0.000152036,0.0001811634,0.0002752698,0.0005149766,0.00003411662],"category_scores_gemma":[0.00001746927,0.0002897549,0.0001738854,0.0001495071,0.00001742805,0.0001197426,0.0001638077,0.0004997489,0.000008263393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714459,"about_ca_system_score_gemma":0.0000421254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005897249,"about_ca_topic_score_gemma":0.0005147367,"domain_scores_codex":[0.9986219,0.00004431978,0.0003358062,0.0004548348,0.000176488,0.0003666171],"domain_scores_gemma":[0.9990781,0.00006371908,0.00005429689,0.000574072,0.00009673127,0.000133079],"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":[0.00002844108,0.00003678571,0.0003647879,0.002086084,0.0001100791,0.00001388822,0.0003331684,0.9840587,0.003694244,0.0002826713,0.001363458,0.007627695],"study_design_scores_gemma":[0.0002292132,0.0000687551,0.0008036562,0.000609786,0.00006937078,0.00002851242,0.0005100866,0.9742629,0.02054957,0.0001898106,0.002129406,0.0005489199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1935221,0.001213015,0.7715315,0.00002341258,0.02774504,0.0009291752,0.00003425125,0.001734202,0.003267281],"genre_scores_gemma":[0.9939433,0.0001503701,0.002264653,0.00002344789,0.003151469,0.0001881847,0.000196251,0.00005582049,0.00002653945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8004211,"threshold_uncertainty_score":0.9999555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009819147293404233,"score_gpt":0.2077115750912639,"score_spread":0.1978924277978596,"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."}}