{"id":"W4415398256","doi":"10.1109/smartgridcomm65349.2025.11204645","title":"Cyberphysical Fault Detection for Electric Vehicle Platoons using Graph Convolution Network","year":2025,"lang":"","type":"article","venue":"","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electric vehicle; Fault detection and isolation; Graph; Fault (geology); Feature extraction; Platoon; Exploit; Convolution (computer science)","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":[0.0003580669,0.00044295,0.0003357793,0.0006987023,0.0001970987,0.0003421031,0.0005751204,0.0004103113,0.0007457348],"category_scores_gemma":[0.001372234,0.000174425,0.0003636846,0.0004886166,0.000328443,0.0007910531,0.000405101,0.0005087464,0.0001014907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008470337,"about_ca_system_score_gemma":0.0005156676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170999,"about_ca_topic_score_gemma":0.01347286,"domain_scores_codex":[0.9998604,0.00002963377,0.000007692026,0.00004446689,0.00002874379,0.0000290014],"domain_scores_gemma":[0.9994802,0.000248421,0.00008567418,0.0000463044,0.0001048292,0.00003454604],"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":[0.0002059655,0.00009659646,0.01009473,0.00003786479,0.00005914651,0.0001131142,0.00003873822,0.8613143,0.004627133,0.002887086,0.000940616,0.1195846],"study_design_scores_gemma":[7.245171e-7,0.000005740935,0.0003970819,6.229322e-7,0.000001757426,0.000006345612,0.00000270892,0.9987133,0.0003375105,0.0004927694,0.00004049973,0.000001063346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2896051,0.0003055565,0.7069673,0.0004440524,0.00006010352,0.00004323351,0.0001722508,0.0008048169,0.001597602],"genre_scores_gemma":[0.969347,0.00009506234,0.02954258,0.00004034516,0.00001484314,0.00001052332,0.0001478328,0.00001569914,0.0007861307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01170999,"threshold_uncertainty_score":0.02328366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04592310274166649,"score_gpt":0.3572559764462631,"score_spread":0.3113328737045966,"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."}}