{"id":"W2037380211","doi":"10.1007/s11276-008-0149-7","title":"Impact of traffic localization on communication rates in ad-hoc networks","year":2008,"lang":"en","type":"article","venue":"Wireless Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Wireless ad hoc network; Computer network; Constant (computer programming); Upper and lower bounds; Domain (mathematical analysis); Vehicular ad hoc network; Telecommunications; Wireless; 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":[0.007651907,0.0008685201,0.001049519,0.001674489,0.001179336,0.001740554,0.001062834,0.001445947,0.002117316],"category_scores_gemma":[0.06591249,0.0008237204,0.0004392624,0.001488609,0.001259459,0.003931206,0.001566611,0.00123664,0.0007294425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526723,"about_ca_system_score_gemma":0.0008056709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002092103,"about_ca_topic_score_gemma":0.001839834,"domain_scores_codex":[0.9955895,0.002360102,0.0001566203,0.000341722,0.0008313166,0.0007208209],"domain_scores_gemma":[0.8524284,0.1287372,0.005496491,0.005158232,0.007074508,0.00110518],"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":[0.002739159,0.00050587,0.01493571,0.0002559386,0.0000825547,0.0004505883,0.000321896,0.8394174,0.02475862,0.00946652,0.002672064,0.1043936],"study_design_scores_gemma":[0.0001463528,0.001377546,0.008310633,0.00009567445,0.0002369759,0.000843095,0.0005457785,0.9307872,0.04939587,0.006713667,0.00141316,0.0001341191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9033269,0.003081591,0.08260749,0.001385466,0.0002607583,0.00006408228,0.0002943809,0.00129093,0.007688414],"genre_scores_gemma":[0.9952844,0.0005536082,0.003047595,0.00004524241,0.00005783172,0.00001921162,0.00008590685,0.0001217998,0.0007845374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007651907,"threshold_uncertainty_score":0.04046768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540377911465861,"score_gpt":0.2595997008655601,"score_spread":0.2441959217509014,"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."}}