{"id":"W2975877068","doi":"10.1109/infcomw.2019.8845318","title":"Geocaching-inspired Resilient Path Planning for Drone Swarms","year":2019,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Drone; Computer science; Motion planning; Spoofing attack; Path (computing); Global Positioning System; Dimension (graph theory); Real-time computing; Artificial intelligence; Computer security; Robot; Computer network; Mathematics; Telecommunications","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":[0.0005081536,0.0001771479,0.0002297516,0.0001081059,0.000125221,0.0001404252,0.0008900927,0.00007695211,0.00001153622],"category_scores_gemma":[0.00006631149,0.0001514261,0.00007985733,0.0002022306,0.00001659176,0.0003503876,0.0002175697,0.0001364057,0.0002810733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005351061,"about_ca_system_score_gemma":0.00007358383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003331368,"about_ca_topic_score_gemma":2.350315e-7,"domain_scores_codex":[0.9983158,0.00003831803,0.0002635389,0.000565302,0.0003237776,0.0004932738],"domain_scores_gemma":[0.9987476,0.000219753,0.0001055845,0.0007461664,0.0000573807,0.0001234917],"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":[0.000177277,0.0008942557,0.08926274,0.0004676692,0.0003283554,0.0003289776,0.01776893,0.4676833,0.01884766,0.1830087,0.101881,0.1193511],"study_design_scores_gemma":[0.0008616998,0.0003258216,0.006049259,0.00007724745,0.000005345643,0.00002096304,0.00007563204,0.9844218,0.001349339,0.001448468,0.005031585,0.0003328088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0452665,0.00009677368,0.946583,0.0004964024,0.001036096,0.0004564667,0.000002902909,0.0004838507,0.005577993],"genre_scores_gemma":[0.3811642,0.000001036668,0.6136929,0.0006043064,0.0001022091,0.00003452789,0.00001016226,0.00001985318,0.004370843],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5167385,"threshold_uncertainty_score":0.6174976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843272580162654,"score_gpt":0.2655535873096792,"score_spread":0.2471208615080526,"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."}}