{"id":"W2952549302","doi":"10.23977/isspj.2019.41002","title":"Dynamic Integrity Measurement Scheme of Smart Meter Based on Trusted Computing","year":2019,"lang":"en","type":"article","venue":"Information Systems and Signal Processing Journal","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart meter; Computer science; Scheme (mathematics); Embedded system; Software; Smart grid; Trusted Computing; Computer security; Buffer overflow; Process (computing); Cyber-physical system; Data integrity; Real-time computing; Computer network; Engineering; Operating system; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009219995,0.0001073633,0.0001861537,0.0001780787,0.0001087546,0.0002013294,0.00008428774,0.00007204101,0.00001062624],"category_scores_gemma":[0.00001637676,0.00008289462,0.00003928381,0.000123493,0.00002109019,0.0006470386,0.000008394443,0.0003448842,0.000009831013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007831761,"about_ca_system_score_gemma":0.00006408386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003248409,"about_ca_topic_score_gemma":4.757055e-7,"domain_scores_codex":[0.9987841,0.0000320518,0.0005003635,0.00005072607,0.0004921408,0.0001406115],"domain_scores_gemma":[0.9993911,0.0000267887,0.0001894441,0.00005767378,0.0002702351,0.00006478337],"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":[0.0002644925,0.00007706613,0.00814403,0.006826862,0.0001268646,0.000004441252,0.007382531,0.8727741,0.01521402,0.0002439808,0.0004012843,0.0885403],"study_design_scores_gemma":[0.0004941064,0.00009257587,0.0009491429,0.00109614,0.000005777339,0.00004841913,0.0006755324,0.9953853,0.0005348737,0.000005709108,0.0006066576,0.0001057023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8530608,0.00072092,0.1435067,0.00002604663,0.0005942144,0.0001904992,0.000003573174,0.00006399363,0.001833333],"genre_scores_gemma":[0.9993202,0.000006983651,0.0005974006,0.00003332981,0.00003054916,0.000001105786,0.000001582531,0.00000545605,0.000003387924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1462594,"threshold_uncertainty_score":0.3380345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140150942232469,"score_gpt":0.2179342613227811,"score_spread":0.2039191670995342,"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."}}