{"id":"W4416513120","doi":"10.1109/mnet.2025.3631390","title":"A Graph Isomorphism Network-Based Deep Learning Approach to Mitigate Smart Contract Vulnerabilities in Smart Grids","year":2025,"lang":"","type":"article","venue":"IEEE Network","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Deep learning; Smart grid; Convolutional neural network; Graph; Delegate; Hyperparameter optimization; Code (set theory)","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":[0.0005349429,0.0008114344,0.0003847444,0.0008674742,0.0002867209,0.0005492783,0.0008501383,0.0006731821,0.001462923],"category_scores_gemma":[0.001704829,0.0002509929,0.0004472568,0.0005392868,0.0005495436,0.001523781,0.001102482,0.001464883,0.0003247438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008715048,"about_ca_system_score_gemma":0.0009782652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006233217,"about_ca_topic_score_gemma":0.01050268,"domain_scores_codex":[0.9998122,0.00004248771,0.000007731376,0.00005333073,0.00004032462,0.00004395661],"domain_scores_gemma":[0.9996268,0.0001437969,0.00005563898,0.00005714122,0.00008556026,0.00003102942],"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":[0.0001189766,0.0001745728,0.006504942,0.00006533669,0.00008588444,0.0001377814,0.0001097042,0.7925716,0.003994843,0.01123476,0.005303294,0.1796983],"study_design_scores_gemma":[0.000001793503,0.00001767457,0.0002013152,0.00000416405,0.000005722064,0.00001312948,0.00001028646,0.9940178,0.0008865107,0.004404586,0.0004340432,0.00000294632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1583496,0.0007734604,0.8286448,0.001321728,0.0001097924,0.0001011125,0.0004659937,0.004949908,0.005283776],"genre_scores_gemma":[0.8949504,0.0003542049,0.09705688,0.0003814056,0.0000396841,0.0000648284,0.001099481,0.0001330057,0.005920012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006233217,"threshold_uncertainty_score":0.01239389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008730295297544764,"score_gpt":0.2145973270060098,"score_spread":0.205867031708465,"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."}}