{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005251465,0.001049272,0.001122877,0.001363556,0.001260259,0.004763351,0.003716521,0.002959062,0.004154277],"category_scores_gemma":[0.004250181,0.0007835604,0.001788792,0.0007253575,0.00219565,0.004820028,0.003574352,0.00284691,0.001606663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552614,"about_ca_system_score_gemma":0.002298978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003453454,"about_ca_topic_score_gemma":0.002778986,"domain_scores_codex":[0.99717,0.0009365315,0.0003358827,0.0004307457,0.0008843855,0.0002423759],"domain_scores_gemma":[0.9987838,0.0004496573,0.0001269021,0.0002332872,0.0002760619,0.0001302868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009448065,0.0001427267,0.00113823,0.0003746377,0.0001325166,0.0008800503,0.0008679823,0.08869019,0.005676223,0.8255963,0.007927821,0.0684788],"study_design_scores_gemma":[0.00007633881,0.0001372115,0.0002193541,0.0001549173,0.00009532674,0.0005880333,0.0001578441,0.7649252,0.00536648,0.1320859,0.09612209,0.00007122348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001081315,0.0002647954,0.9935976,0.0002963947,0.00009536815,0.0002444822,0.00003346435,0.001877064,0.00250952],"genre_scores_gemma":[0.09396675,0.0007869929,0.8977467,0.0002921375,0.0001398756,0.0009506468,0.0002159618,0.000213492,0.005687477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005251465,"threshold_uncertainty_score":0.02777272,"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."}}