{"id":"W2743297975","doi":"10.4108/eai.7-8-2017.152990","title":"A Hybrid Encryption Scheme for Advanced Metering Infrastructure Networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Metering mode; Smart grid; Computer science; Encryption; Scheme (mathematics); Grid; Computer security; Electricity; Power grid; Distributed computing; Telecommunications; Computer network; Embedded system; Power (physics); Engineering; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00004946416,0.00009130208,0.0000951402,0.00002102501,0.0002173171,0.00007992018,0.000202751,0.00004599737,0.00003313427],"category_scores_gemma":[0.00003809245,0.00008144583,0.00004530584,0.0000128238,0.00002828829,0.0002705035,0.00003554265,0.00009430978,0.000004757914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001823424,"about_ca_system_score_gemma":0.000003783376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002371655,"about_ca_topic_score_gemma":0.000006509677,"domain_scores_codex":[0.9995471,0.000002216018,0.00009093778,0.0001127647,0.00005397847,0.000193038],"domain_scores_gemma":[0.9996238,0.00001918545,0.0000233967,0.000268741,0.0000187047,0.00004613071],"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":[0.00004730039,0.00001061214,0.0008901771,0.0001887129,0.00006559588,0.000007552005,0.0001842105,0.8438891,0.07406916,0.002893662,0.005673435,0.0720805],"study_design_scores_gemma":[0.0004642161,0.00002952885,0.003984402,0.00003671764,0.000007022541,0.000009528389,0.00002383542,0.9570986,0.0242653,0.001064987,0.01278506,0.0002307779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5492806,0.0001405412,0.4467778,0.0000300542,0.001095405,0.0001639474,0.000003312647,0.0002049867,0.002303395],"genre_scores_gemma":[0.9819543,0.0000827404,0.01755347,0.00002454601,0.0002632764,0.00002627169,0.000004769234,0.00001424041,0.00007635638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4326738,"threshold_uncertainty_score":0.3321265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006911009938131514,"score_gpt":0.226990197331838,"score_spread":0.2200791873937065,"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."}}