{"id":"W2789912089","doi":"10.1007/978-3-319-74439-1_13","title":"Exploiting Multiple Beam Antennas for End-to-End Delay Reduction in Ad Hoc Networks","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Transmission delay; Computer science; Network packet; Computer network; End-to-end delay; Reduction (mathematics); Wireless ad hoc network; Scheduling (production processes); Exploit; Node (physics); Wireless; Engineering; Mathematical optimization; Telecommunications; Mathematics","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":[0.0002077143,0.0009823986,0.000463645,0.0002826009,0.0001713448,0.0006503983,0.000826138,0.0006501185,0.003442735],"category_scores_gemma":[0.0003653398,0.0002914765,0.0003308365,0.0006473936,0.0002617619,0.0006427673,0.0005176382,0.0007406645,0.001388107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002363809,"about_ca_system_score_gemma":0.0001213205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000127599,"about_ca_topic_score_gemma":0.0003077962,"domain_scores_codex":[0.9997837,0.0000496863,0.000007392453,0.00003134964,0.00009446812,0.0000333683],"domain_scores_gemma":[0.9997393,0.0001461485,0.00001767614,0.00004095634,0.00004951102,0.000006494266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003726066,0.00012737,0.0003633871,0.0002764915,0.0001399898,0.0001192436,0.00007700976,0.1128127,0.2878058,0.02077619,0.006298741,0.5708305],"study_design_scores_gemma":[0.00003943911,0.0004727713,0.0006611725,0.00005799706,0.0001139581,0.0005068443,0.00006616674,0.7767701,0.171216,0.02086088,0.02918752,0.00004722414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01463855,0.003313503,0.9731226,0.0001177635,0.0002040368,0.00001452558,0.0000406364,0.0007271164,0.007821272],"genre_scores_gemma":[0.4119815,0.008047794,0.5446563,0.0002991182,0.0004264032,0.00008053835,0.0002177084,0.0003380059,0.03395272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003442735,"threshold_uncertainty_score":0.01151711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368849800298449,"score_gpt":0.2387486341925481,"score_spread":0.2150601361895636,"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."}}