{"id":"W1910221752","doi":"10.1002/sec.690","title":"A framework for intrusion detection system in advanced metering infrastructure","year":2012,"lang":"en","type":"article","venue":"Security and Communication Networks","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Metering mode; Intrusion detection system; Intrusion prevention system; Computer security; Critical infrastructure; Intrusion; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002598759,0.0001053585,0.0001331158,0.00005622107,0.0001535851,0.00002782318,0.0001474132,0.0001946901,0.000002604975],"category_scores_gemma":[0.00002690526,0.0001085544,0.00002746894,0.0001790288,0.00003405812,0.0002583839,0.00007049224,0.0003811838,7.314885e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006384274,"about_ca_system_score_gemma":0.000002539678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007333794,"about_ca_topic_score_gemma":0.00006608675,"domain_scores_codex":[0.9993918,0.00005586751,0.0001807842,0.00008843321,0.00005605918,0.0002270731],"domain_scores_gemma":[0.999419,0.0001766707,0.00003621549,0.0002874466,0.00001870043,0.00006193219],"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":[0.0002988103,0.0001305261,0.008159796,0.001535575,0.00009170286,0.000001014482,0.0313595,0.5578873,0.002225358,0.0898314,0.0001533242,0.3083257],"study_design_scores_gemma":[0.0005267291,0.00004101286,0.01022031,0.0005521326,0.0000190427,0.00001999065,0.002677928,0.9700485,0.001166302,0.009192887,0.005175472,0.0003597209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.747539,0.01097569,0.2400551,0.00002507347,0.0005958507,0.0003370662,0.000002693218,0.0002065463,0.0002630457],"genre_scores_gemma":[0.9930471,0.001585235,0.005103375,0.00002335929,0.00013509,0.0000816322,0.00001005681,0.00001364556,5.575587e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4121612,"threshold_uncertainty_score":0.4426721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006170757504704192,"score_gpt":0.2242062447372914,"score_spread":0.2180354872325873,"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."}}