{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006013014,0.0001394553,0.0001083741,0.0001589977,0.00009210821,0.0004163594,0.0001301668,0.00008826372,0.00003569107],"category_scores_gemma":[0.00002232361,0.0001244953,0.00002959347,0.0003919863,0.0000244082,0.0005839141,0.00002774921,0.0003400582,0.00002761259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003837276,"about_ca_system_score_gemma":0.00001297146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005987423,"about_ca_topic_score_gemma":0.00003842749,"domain_scores_codex":[0.9993042,0.00001409415,0.000109968,0.0002123313,0.0001169109,0.0002425235],"domain_scores_gemma":[0.9996058,0.0001425847,0.000008552361,0.000147723,0.00001274051,0.0000825802],"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":[0.0001890363,0.0002217699,0.02124783,0.005498282,0.0009819005,0.06661443,0.02783287,0.26263,0.1517436,0.02912887,0.1988418,0.2350697],"study_design_scores_gemma":[0.0005122992,0.00009264826,0.008491727,0.0003766693,0.00007373733,0.00307874,0.0001087864,0.9091751,0.05418471,0.003929881,0.01904199,0.0009337069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996382,0.001104636,0.000331853,0.00004688121,0.001198028,0.00009944976,0.00001059156,0.0003845133,0.0004420436],"genre_scores_gemma":[0.9993024,0.0002411622,0.00001667719,0.0001160747,0.0002548141,0.000007734395,0.000001608972,0.00002656914,0.00003289242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6465452,"threshold_uncertainty_score":0.5076773,"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."}}