{"id":"W3155199389","doi":"10.3390/en14092385","title":"Assessing Insider Attacks and Privacy Leakage in Managed IoT Systems for Residential Prosumers","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer security; Computer science; Smart grid; Renewable energy; Context (archaeology); Electricity; Demand response; Insider; Internet of Things; Risk analysis (engineering); Environmental economics; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005559636,0.0006826655,0.0006667693,0.00109149,0.0007454882,0.002626451,0.0007694751,0.00140158,0.001608109],"category_scores_gemma":[0.02890076,0.0002984079,0.0006735463,0.001094464,0.001269977,0.00467128,0.002048286,0.001100286,0.0003135486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072679,"about_ca_system_score_gemma":0.0009333769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009374682,"about_ca_topic_score_gemma":0.000567289,"domain_scores_codex":[0.9927512,0.003554968,0.0004564573,0.0005961709,0.002096392,0.000544759],"domain_scores_gemma":[0.9658406,0.02302551,0.004391644,0.004333493,0.002058229,0.0003505187],"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":[0.002099218,0.0005853114,0.1472094,0.001545197,0.0008817771,0.00198631,0.00190476,0.5586493,0.01188454,0.08727203,0.003943711,0.1820385],"study_design_scores_gemma":[0.00004642419,0.0009845858,0.02528625,0.0002545825,0.0002535153,0.001581569,0.001224948,0.9040245,0.01530754,0.04711255,0.003836333,0.00008714187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7381972,0.002525156,0.2422966,0.001334607,0.00008426448,0.0005486592,0.0008226686,0.000593795,0.01359704],"genre_scores_gemma":[0.9908276,0.0003038001,0.008222587,0.00005994732,0.00001802518,0.00005600225,0.0001353891,0.00001420014,0.0003624082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005559636,"threshold_uncertainty_score":0.02940255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821577881695659,"score_gpt":0.2609693364626158,"score_spread":0.2427535576456592,"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."}}