{"id":"W7123354644","doi":"10.1109/cdc57313.2025.11312717","title":"Anti-Spoofing Aided Solutions for Urban Air Mobility: Ground Command Authentication","year":2025,"lang":"","type":"article","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Air traffic control; Authentication (law); Spoofing attack; Process (computing); Flight plan; Intelligent transportation system; Consistency (knowledge bases); Wireless; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005447852,0.000302739,0.000331054,0.0003331489,0.0006818002,0.0001651301,0.0002559529,0.000189572,0.0002226178],"category_scores_gemma":[0.0000783877,0.0003522239,0.00017833,0.0006213986,0.00008485016,0.0004317624,0.0001323634,0.0001513482,0.0000292993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162201,"about_ca_system_score_gemma":0.00004804212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003631755,"about_ca_topic_score_gemma":0.00006940892,"domain_scores_codex":[0.9981462,0.00003834231,0.0006260589,0.0004406287,0.0001508524,0.000597939],"domain_scores_gemma":[0.9989765,0.0002041079,0.00007981822,0.0005252545,0.0001445664,0.00006978639],"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":[0.00003562546,0.0003637399,0.0007524158,0.001510646,0.0004660878,4.156055e-7,0.000900657,0.5672425,0.0001721525,0.3824598,0.03493249,0.01116344],"study_design_scores_gemma":[0.001043186,0.00003718936,0.0068371,0.000186183,0.0003639516,1.770438e-7,0.0005137686,0.9678313,0.000123983,0.001722201,0.02101399,0.0003270004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01178476,0.0007161046,0.9641356,0.001815946,0.001046263,0.001861051,0.00001851269,0.000547178,0.01807455],"genre_scores_gemma":[0.9763311,0.00022136,0.007837375,0.0001712533,0.0001242403,0.0001683951,0.0001908016,0.00003745688,0.01491801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9645463,"threshold_uncertainty_score":0.999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713124323630823,"score_gpt":0.2394473744704795,"score_spread":0.2223161312341713,"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."}}