{"id":"W2104149595","doi":"10.1109/icc.2007.790","title":"Efficient Data Access Algorithms for ITS-based Networks with Multi-Hop Wireless Links","year":2007,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Bottleneck; Wireless network; Cache; Algorithm; Wireless; Callback; Data access; Distributed computing; Embedded system; Telecommunications","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":[0.001030177,0.0004928572,0.000919226,0.0006423205,0.0006414723,0.001408157,0.001269355,0.0006065326,0.001346344],"category_scores_gemma":[0.003364097,0.0002429251,0.0003163977,0.0009709067,0.0006731212,0.002010121,0.0006478933,0.0005988354,0.0002287347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008887207,"about_ca_system_score_gemma":0.0006956062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917736,"about_ca_topic_score_gemma":0.001802234,"domain_scores_codex":[0.9995511,0.0001642621,0.00003581931,0.00006623459,0.000102652,0.0000799107],"domain_scores_gemma":[0.9978088,0.001315323,0.0002526837,0.0002087173,0.0003291191,0.00008543178],"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":[0.00024014,0.00008926167,0.002725356,0.0003683897,0.00007714801,0.00008329868,0.0002859132,0.8003061,0.00760006,0.0409392,0.001673073,0.1456121],"study_design_scores_gemma":[0.00001861668,0.00006439021,0.0001776456,0.000008854031,0.00001601531,0.00004996766,0.00005551467,0.9904634,0.002095248,0.006064335,0.0009785031,0.000007387428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08069854,0.00122139,0.9147545,0.000244361,0.00005842224,0.00008387199,0.00006455538,0.0003931622,0.002481237],"genre_scores_gemma":[0.8558235,0.0009441843,0.1410212,0.00005920233,0.00006638477,0.0001142988,0.0001309245,0.00004826363,0.001791986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001917736,"threshold_uncertainty_score":0.00644815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.065503795953637,"score_gpt":0.331720772309866,"score_spread":0.266216976356229,"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."}}