{"id":"W4401942610","doi":"10.1109/ojcoms.2024.3451288","title":"Leveraging Transformer Models for Anti-Jamming in Heavily Attacked UAV Environments","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université du Québec à Montréal","funders":"","keywords":"Jamming; Transformer; Computer science; Computer security; Engineering; Electrical engineering; Physics","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":[0.0005171106,0.00008547502,0.0001364027,0.00003448804,0.0002022284,0.0001438631,0.001285961,0.00004954279,0.00000580422],"category_scores_gemma":[0.000003526026,0.00006936345,0.0001787211,0.0002453678,0.00004708703,0.0005405439,0.00006302234,0.0002863624,0.000002252413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817093,"about_ca_system_score_gemma":0.00004500307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001029551,"about_ca_topic_score_gemma":0.000008118285,"domain_scores_codex":[0.9993198,0.00003346137,0.0003612261,0.00006879216,0.00009666385,0.0001200639],"domain_scores_gemma":[0.9992625,0.0001055851,0.00005649442,0.0005194612,0.00002733117,0.00002870034],"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":[0.000003168029,0.00006213082,0.0000830068,0.00004238114,0.0001273175,1.374221e-7,0.005926497,0.9740254,0.006986215,0.0007679609,0.003939127,0.008036669],"study_design_scores_gemma":[0.0003992452,0.00001025216,0.0002077811,0.0002082299,0.00005055907,0.00001092157,0.000675461,0.9661253,0.001501923,0.001822856,0.02887279,0.0001146448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06937174,0.003899338,0.9174623,0.005684652,0.0004573668,0.001071594,0.00002807019,0.000037126,0.001987767],"genre_scores_gemma":[0.94912,0.003065005,0.04749322,0.00007783721,0.00002835426,0.00005345412,0.00000536749,0.00002784593,0.0001289014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8797483,"threshold_uncertainty_score":0.282856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06183147565885343,"score_gpt":0.3006688434929403,"score_spread":0.2388373678340869,"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."}}