{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003109557,0.0004892708,0.0003137845,0.0004443281,0.0003758205,0.0006842375,0.0005063344,0.0007279016,0.001142301],"category_scores_gemma":[0.0009890321,0.0001035338,0.0002858342,0.0002648429,0.0004641531,0.0009063359,0.0009464122,0.000545653,0.0003361217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002964134,"about_ca_system_score_gemma":0.0004061654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008904558,"about_ca_topic_score_gemma":0.0006134768,"domain_scores_codex":[0.9996483,0.00009495977,0.00001577422,0.00005199964,0.0001238169,0.00006521108],"domain_scores_gemma":[0.9996009,0.0001097436,0.00008874064,0.00007974462,0.0001022559,0.00001859725],"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":[0.0003215569,0.0001285037,0.002924299,0.0002866335,0.0000720454,0.0004071417,0.0002770791,0.5318693,0.06205326,0.05970395,0.003005044,0.3389512],"study_design_scores_gemma":[0.000009205522,0.0001288564,0.0005249573,0.00002043792,0.00001237559,0.0001400218,0.0000559338,0.9816352,0.008199475,0.005655013,0.003606011,0.0000124011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0520417,0.0007371767,0.9418287,0.0002780184,0.00009806897,0.00005392227,0.00003358731,0.0005648449,0.004364017],"genre_scores_gemma":[0.9567666,0.0003554974,0.04131761,0.00004472559,0.00003028103,0.00002923293,0.00003684332,0.00001327679,0.001405947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001142301,"threshold_uncertainty_score":0.003821373,"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."}}