{"id":"W3036626785","doi":"10.1109/lcomm.2020.3002859","title":"A Novel Distributed Algorithm for Phase Synchronization in Unmanned Aerial Vehicles","year":2020,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"RSS; Drone; Computer science; Algorithm; Synchronizing; Convergence (economics); Synchronization (alternating current); Base station; Real-time computing; Control theory (sociology); Telecommunications; Artificial intelligence; Channel (broadcasting)","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":[0.00006211857,0.0001083232,0.000120779,0.00006440219,0.0001101584,0.00004464452,0.0004123177,0.00005365726,0.000005446334],"category_scores_gemma":[0.00002140921,0.0001322471,0.00003713045,0.0004705793,0.00004810278,0.0001479627,0.00003229934,0.0001093689,0.00001042263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009425516,"about_ca_system_score_gemma":0.00001415667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001437389,"about_ca_topic_score_gemma":0.00001804006,"domain_scores_codex":[0.9993761,0.00001873975,0.0002624742,0.0001306514,0.0000611439,0.0001508598],"domain_scores_gemma":[0.9992822,0.00007798626,0.0000411449,0.0004971589,0.00004722073,0.00005432212],"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":[0.00002650756,0.000384552,0.00006234652,0.00006537203,0.00007116964,5.442774e-7,0.00110285,0.661703,0.2316116,0.0007884912,0.01356736,0.09061617],"study_design_scores_gemma":[0.001527794,0.00001809969,0.00006012962,0.00001130799,0.00001526554,7.142699e-7,0.00003434291,0.9866673,0.001800351,0.00001492064,0.009706475,0.0001433038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01072637,0.00008832433,0.9808271,0.00717045,0.00007388725,0.0005205529,0.0003287188,0.0002340445,0.00003054136],"genre_scores_gemma":[0.8077996,0.0001229654,0.1888226,0.0008120982,0.0001255967,0.0004864841,0.001787035,0.00004197732,0.000001622215],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7970732,"threshold_uncertainty_score":0.5392881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691563510918525,"score_gpt":0.2611790150189918,"score_spread":0.2342633799098065,"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."}}