{"id":"W4415406215","doi":"10.1007/978-981-95-1050-4_5","title":"Human-Drone Swarm Collaboration Using LLMs: Case Study on DRL-Based Anti-jamming","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Drone; Interface (matter); Bridge (graph theory); Interpretation (philosophy); Control (management); Reinforcement learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220208,0.0004249721,0.000257016,0.0002783922,0.0008568362,0.000864313,0.001070511,0.001216812,0.00357522],"category_scores_gemma":[0.002902499,0.0001304996,0.0002851537,0.000281236,0.0008762688,0.001215655,0.001355866,0.001001193,0.0006778474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008831325,"about_ca_system_score_gemma":0.000563973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002426055,"about_ca_topic_score_gemma":0.00492995,"domain_scores_codex":[0.9993643,0.0003754901,0.00002154876,0.00005905742,0.0001310416,0.00004850616],"domain_scores_gemma":[0.9980395,0.001402136,0.0001057895,0.000183787,0.0001517741,0.0001169617],"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":[0.0008353193,0.001678927,0.01346148,0.001106394,0.0001337837,0.01079103,0.0208289,0.4074837,0.03843373,0.06753878,0.03088806,0.4068199],"study_design_scores_gemma":[0.00008248173,0.0007407896,0.003089946,0.0001186742,0.00004861668,0.001412363,0.006674239,0.838785,0.02243561,0.0172588,0.1092751,0.00007844355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6798557,0.0009829099,0.2433291,0.003296411,0.0001858371,0.000394827,0.0002665921,0.003057075,0.06863151],"genre_scores_gemma":[0.9072241,0.0002097455,0.07471217,0.0002461856,0.00002043906,0.0001035035,0.0001923291,0.0001488933,0.01714266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00357522,"threshold_uncertainty_score":0.01196027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798724824736167,"score_gpt":0.2995013756799905,"score_spread":0.2615141274326289,"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."}}