{"id":"W4413893978","doi":"10.1145/3759919","title":"A Resilient Control Strategy for Train-to-Train Communications under Jamming Attacks","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Jamming; Computer network; Computer security; Control (management); Distributed computing; Telecommunications; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004560411,0.0006811724,0.0004571407,0.0002849678,0.0004240343,0.0005531193,0.0008659686,0.0005138715,0.001034894],"category_scores_gemma":[0.0009561144,0.0002113619,0.0003055936,0.0001684327,0.0004972803,0.0005904043,0.0007851337,0.0007753171,0.000194175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004987303,"about_ca_system_score_gemma":0.000864448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004846734,"about_ca_topic_score_gemma":0.00333683,"domain_scores_codex":[0.9997341,0.00004019576,0.00001496374,0.00008034436,0.00006412934,0.00006620371],"domain_scores_gemma":[0.9996024,0.0001051978,0.0000879228,0.00003943914,0.0001111152,0.00005398917],"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":[0.0002330731,0.0001460554,0.001033627,0.00007718763,0.00005861768,0.0001770388,0.0001331912,0.8500583,0.02224681,0.006173739,0.001804485,0.1178578],"study_design_scores_gemma":[0.0000113499,0.00006194387,0.0001455127,0.00000252262,0.000007785178,0.00001491877,0.000007683332,0.9972569,0.001430407,0.0007419759,0.0003140179,0.000004992802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08245911,0.000251108,0.911166,0.0002713437,0.0001050792,0.00006477007,0.00002708805,0.001215054,0.004440426],"genre_scores_gemma":[0.9823359,0.00004862492,0.01648,0.00008218663,0.00001328397,0.00003074762,0.00001991887,0.00001503343,0.0009744578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004846734,"threshold_uncertainty_score":0.009636998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03043607004419819,"score_gpt":0.2776811714554839,"score_spread":0.2472451014112857,"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."}}