{"id":"W4386360568","doi":"10.1109/icccworkshops57813.2023.10233835","title":"Blockchain-based Collision Avoidance Access Protocol for UAV Swarm","year":2023,"lang":"en","type":"article","venue":"","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Jiangsu Provincial Key Research and Development Program; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; China Association for Science and Technology","keywords":"Computer science; Bottleneck; Aloha; Computer network; Protocol (science); Throughput; Access control; Swarm behaviour; Channel (broadcasting); Collision avoidance; Collision; Key (lock); Random access; Distributed computing; Computer security; Wireless; Embedded system; 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":[0.00007933025,0.00007323739,0.00006391453,0.00007186548,0.00007360907,0.00004516012,0.000125634,0.00004386114,0.00004883147],"category_scores_gemma":[0.00001108239,0.00006709895,0.00002707824,0.0004485764,0.000006887451,0.00002519133,0.00001357582,0.00003127854,0.00005758704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002733943,"about_ca_system_score_gemma":0.00001460454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000048592,"about_ca_topic_score_gemma":0.00001120002,"domain_scores_codex":[0.9995552,0.000003266393,0.0001228481,0.0001123328,0.00006972905,0.0001366757],"domain_scores_gemma":[0.9996904,0.00005309584,0.00001523148,0.0001569947,0.00005185036,0.00003246716],"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":[0.00000683881,0.00001132546,0.00005690967,0.0000830566,0.000002602575,1.146681e-7,0.00001112836,0.9835634,0.0003871551,0.0004377308,0.01443027,0.001009473],"study_design_scores_gemma":[0.000487462,0.00001287706,0.000221659,0.00001266656,0.000001895057,7.240759e-8,0.00000495526,0.9234191,0.02689454,0.0001586372,0.04869802,0.00008814163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.008787183,0.000001403318,0.8147253,0.0003583189,0.00007213536,0.1685672,0.00002280577,0.001943308,0.005522368],"genre_scores_gemma":[0.05414728,6.443505e-7,0.014781,0.0000950556,0.00008499197,0.9294304,0.00003442642,0.00004732587,0.001378925],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.7999443,"threshold_uncertainty_score":0.2736216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04005643311265489,"score_gpt":0.3373279424609357,"score_spread":0.2972715093482808,"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."}}