{"id":"W4401210570","doi":"10.1109/access.2024.3437192","title":"On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Western University","funders":"","keywords":"Computer security; Electric vehicle; Computer science; Telecommunications","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":[0.000778268,0.000415987,0.0002543511,0.0007795722,0.0006314661,0.0011608,0.0008762125,0.001500381,0.003114551],"category_scores_gemma":[0.002847268,0.0001320745,0.0003213805,0.001008428,0.001033349,0.001827275,0.001169378,0.0007237221,0.000502241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008815293,"about_ca_system_score_gemma":0.0004486475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00415344,"about_ca_topic_score_gemma":0.004301479,"domain_scores_codex":[0.9992598,0.0002611827,0.00004585169,0.00006067437,0.0002539197,0.0001185157],"domain_scores_gemma":[0.9987202,0.0007545499,0.00009145596,0.0002045031,0.0001551481,0.00007419012],"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":[0.001706297,0.0009758287,0.1055284,0.001733575,0.0001742496,0.04559039,0.004472329,0.3661207,0.02375562,0.136555,0.03606076,0.2773269],"study_design_scores_gemma":[0.0002745925,0.001656682,0.03138285,0.0004088471,0.0001750198,0.02252405,0.008417774,0.6305572,0.09656405,0.05487368,0.1529607,0.0002045647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786522,0.001334791,0.05651544,0.003816652,0.0001049603,0.0003963899,0.001111883,0.0009983196,0.05706942],"genre_scores_gemma":[0.9856976,0.0005464804,0.009564186,0.0002015553,0.00001891778,0.00009453224,0.0003219567,0.00004846064,0.003506347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00415344,"threshold_uncertainty_score":0.01041919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090108081938284,"score_gpt":0.2471012337043949,"score_spread":0.2362001528850121,"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."}}