{"id":"W4372338205","doi":"10.1139/dsa-2023-0002","title":"Communication capacity maximization in drone swarms","year":2023,"lang":"en","type":"article","venue":"Drone Systems and Applications","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Maximization; Drone; Mathematical optimization; Swarm behaviour; Distributed computing; Throughput; Key (lock); Resource allocation; Convergence (economics); Computer network; Wireless; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001927823,0.000106582,0.000132876,0.0001767492,0.0001390365,0.00005980652,0.0001140304,0.00008400789,0.000007340018],"category_scores_gemma":[0.000004202593,0.0001178871,0.00001564567,0.0008687905,0.00003774086,0.0001334305,0.00002757765,0.00009889092,0.0001071314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005841722,"about_ca_system_score_gemma":0.000006879374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001835451,"about_ca_topic_score_gemma":0.00007463376,"domain_scores_codex":[0.9992755,0.00002247486,0.0002830098,0.0001682699,0.00008929109,0.0001614376],"domain_scores_gemma":[0.9994497,0.00003690193,0.00004241413,0.0003780657,0.00004003509,0.00005288189],"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":[0.000002422963,0.0000942593,0.004141491,0.000306883,0.00002592395,4.06355e-7,0.0008401054,0.843679,0.003405434,0.1313526,0.002447776,0.01370369],"study_design_scores_gemma":[0.000394725,0.000007804658,0.01841193,0.00004062256,0.00001429041,0.000005950958,0.0004448296,0.9372609,0.0001771144,0.001899302,0.0410569,0.0002856751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3680108,0.002378728,0.607627,0.0005905972,0.0001674637,0.003540932,0.0001338969,0.00234528,0.01520521],"genre_scores_gemma":[0.9955764,0.0009756931,0.001012691,0.000008498308,0.00005054448,0.001779148,0.0003248609,0.00002877825,0.0002433543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6275656,"threshold_uncertainty_score":0.4807298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280608538221662,"score_gpt":0.2064805737029609,"score_spread":0.1936744883207443,"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."}}