{"id":"W2328842223","doi":"10.2514/6.2010-8361","title":"Modeling Urban Environments for Communication-Aware UAV Swarm Path Planning","year":2010,"lang":"en","type":"article","venue":"AIAA Modeling and Simulation Technologies Conference","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swarm behaviour; Motion planning; Computer science; Path (computing); Simulation; Human–computer interaction; Real-time computing; Artificial intelligence; Computer network; Robot","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003520329,0.0002187804,0.0002254255,0.0001607241,0.0004683041,0.0002222251,0.001041847,0.0002731785,8.033403e-7],"category_scores_gemma":[0.0002753603,0.0002171761,0.00004176022,0.0001399115,0.00008784221,0.0005044594,0.0004251873,0.0004543467,0.000003873294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002235451,"about_ca_system_score_gemma":0.00004691995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002142859,"about_ca_topic_score_gemma":8.071758e-7,"domain_scores_codex":[0.9985361,0.00002640802,0.0003602273,0.0005281115,0.0002161314,0.0003330549],"domain_scores_gemma":[0.9985047,0.0002343585,0.0001146674,0.0009778619,0.0001155307,0.00005286181],"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":[0.000003637107,0.00001620133,0.0003682872,0.000008787601,0.00000844481,8.673818e-7,0.0005757905,0.9753113,0.0003170026,0.005587233,0.000006207278,0.01779625],"study_design_scores_gemma":[0.0003088222,0.00004118705,0.00001657311,0.00006823536,0.000008178055,0.000002950332,0.0003628532,0.9803235,0.0002266208,0.01830881,0.00007294041,0.0002593253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.119778,0.0001844461,0.8783279,0.0004350478,0.0001193801,0.0002530525,0.000005553718,0.0008538674,0.00004277734],"genre_scores_gemma":[0.7362676,0.00003554354,0.2635567,0.0000319588,0.00001267246,0.00004415091,0.00001748734,0.00001146921,0.00002238841],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6164896,"threshold_uncertainty_score":0.8856184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05216715858887103,"score_gpt":0.2895948780423068,"score_spread":0.2374277194534358,"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."}}