{"id":"W2517006165","doi":"10.1109/tmc.2016.2607748","title":"Delay Analysis and Routing for Two-Dimensional VANETs Using Carry-and-Forward Mechanism","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Flooding (psychology); Computer network; Propagation delay; Wireless ad hoc network; Path (computing); Shortest path problem; Node (physics); Routing protocol; Routing (electronic design automation); Transmission delay; Topology (electrical circuits); Wireless; Network packet; Telecommunications; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007667395,0.0007752761,0.0003750378,0.001510332,0.000499816,0.001000596,0.0007856738,0.0005088925,0.001106007],"category_scores_gemma":[0.002298214,0.0003035985,0.0005801768,0.0009143396,0.0006041442,0.001309204,0.0006806853,0.0005248472,0.0001910125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613056,"about_ca_system_score_gemma":0.001095353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007252811,"about_ca_topic_score_gemma":0.003314389,"domain_scores_codex":[0.9996608,0.00007401269,0.00001848622,0.00005870271,0.0001177727,0.00007023316],"domain_scores_gemma":[0.9993948,0.000304481,0.00009400413,0.00003282141,0.0001432323,0.0000306885],"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":[0.0000381483,0.0000181493,0.0006888667,0.00008525299,0.00002212036,0.0001088065,0.00005639147,0.9243155,0.003066966,0.06068532,0.0007524584,0.01016199],"study_design_scores_gemma":[0.000002288988,0.00002041455,0.0001006118,0.000004905643,0.000007009915,0.00002920469,0.00002135842,0.9912837,0.0003356257,0.00731359,0.000872713,0.000008636646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04624664,0.002616766,0.9425192,0.00051418,0.0002235667,0.00008038791,0.0001364953,0.0001651702,0.007497474],"genre_scores_gemma":[0.9454417,0.003263403,0.04541264,0.0001251619,0.0001439468,0.0001143371,0.0001543836,0.00006018068,0.005284267],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007252811,"threshold_uncertainty_score":0.01442116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009755353520571488,"score_gpt":0.2349810521049528,"score_spread":0.2252256985843813,"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."}}