{"id":"W2152003941","doi":"10.1109/glocom.2006.655","title":"WLC07-5: The Effects of Mobility on the Bit Error Rate Performance of Ad Hoc Wireless Networks","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wireless ad hoc network; Rician fading; Computer science; Bit error rate; Node (physics); Computer network; Waypoint; Mobility model; Mobile ad hoc network; Transmission (telecommunications); Fading; Wireless; Real-time computing; Channel (broadcasting); Telecommunications; Network packet; Physics","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":[0.0009202681,0.0001994669,0.0002849047,0.00002901206,0.0001618008,0.00004525969,0.001657137,0.00009015623,0.00001413823],"category_scores_gemma":[0.00003313537,0.0001129905,0.0001280339,0.0005774517,0.000234364,0.0001584176,0.0003436853,0.0002934397,0.00001683353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004177326,"about_ca_system_score_gemma":0.00004845221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009271172,"about_ca_topic_score_gemma":0.00008580012,"domain_scores_codex":[0.9982446,0.0003265492,0.0003952474,0.0003468063,0.0003098728,0.0003768858],"domain_scores_gemma":[0.9969229,0.001134836,0.0003005262,0.001506096,0.00009532149,0.00004034242],"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":[0.0005138995,0.002022968,0.0403126,0.0009670036,0.0002706664,0.00003561326,0.001476818,0.359946,0.003777107,0.1336334,0.0548911,0.4021529],"study_design_scores_gemma":[0.0004841305,0.0005208022,0.1530637,0.000216076,0.00002114729,0.000004431223,0.00001305083,0.8344563,0.008107507,0.001071677,0.001810165,0.000231052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812602,0.0009248789,0.01505844,0.0005050186,0.000681688,0.0006586679,0.000002327987,0.00006360229,0.0008451845],"genre_scores_gemma":[0.999029,0.0001094706,0.000240621,0.0002980223,0.0001062913,0.00006543343,0.000001652293,0.00001096988,0.0001384757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4745103,"threshold_uncertainty_score":0.4607619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006192139619971153,"score_gpt":0.2025820259056817,"score_spread":0.1963898862857106,"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."}}