{"id":"W4399728424","doi":"10.1109/tcomm.2024.3415611","title":"Coverage Analysis of Single-Swarm mmWave UAV Networks Under Multiple Types of Blockages","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Key Research and Development Projects of Shaanxi Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Swarm behaviour; Electronic engineering; Computer network; Engineering; Artificial intelligence","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":[0.0005262977,0.0004487081,0.0003962764,0.0005690121,0.0002628804,0.0004614583,0.0005567826,0.0004957942,0.0005687886],"category_scores_gemma":[0.001828164,0.0001680396,0.000389976,0.0004284743,0.0004998186,0.0006697525,0.000573006,0.0002470922,0.00007548459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009000259,"about_ca_system_score_gemma":0.0003076694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009296077,"about_ca_topic_score_gemma":0.00324342,"domain_scores_codex":[0.9997218,0.00007140193,0.000008780329,0.0000425539,0.0000689246,0.00008645708],"domain_scores_gemma":[0.9987171,0.0006846873,0.0002925959,0.00004918077,0.0001906133,0.00006578906],"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":[0.00008832628,0.0000130286,0.005577752,0.00004544879,0.00003470488,0.0002424933,0.00006976032,0.9799411,0.0055755,0.00379196,0.0002989869,0.004321033],"study_design_scores_gemma":[0.000001556227,0.00002070346,0.001446889,0.000002779179,0.000007787491,0.00004420877,0.00003068789,0.9974904,0.0004151788,0.0004874985,0.00004929968,0.000002958999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8188334,0.001313443,0.1740771,0.0003174422,0.00002903275,0.00003645354,0.0001801456,0.0001227663,0.005090277],"genre_scores_gemma":[0.9979885,0.0002557582,0.001290524,0.00001348038,0.000009060623,0.000009098628,0.00004372613,0.000005397672,0.0003844725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009296077,"threshold_uncertainty_score":0.01848394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220172154341891,"score_gpt":0.2421143011784274,"score_spread":0.2199125796350085,"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."}}