{"id":"W2127780655","doi":"10.1109/wimob.2007.4390846","title":"Exploiting Clustering and Cross-Layer Design Approaches for Data Caching in MANETs","year":2007,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Computer network; Scheme (mathematics); Mobile ad hoc network; Wireless ad hoc network; Cluster analysis; Layer (electronics); Distributed computing; False sharing; Complement (music); Protocol (science); Cache; Wireless; CPU cache; Cache algorithms","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":[0.0015468,0.0006452411,0.0006207195,0.0008946889,0.0007526377,0.0009686651,0.001594649,0.0007709372,0.0008231771],"category_scores_gemma":[0.002883493,0.0004968009,0.0005879735,0.0009200948,0.0005613124,0.001909507,0.0009564775,0.0007651435,0.0003594423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009188894,"about_ca_system_score_gemma":0.0006243979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001696481,"about_ca_topic_score_gemma":0.003404252,"domain_scores_codex":[0.9990381,0.0003088971,0.0001005728,0.0001455348,0.000320049,0.00008701672],"domain_scores_gemma":[0.9976463,0.0006401452,0.0002552398,0.0005436415,0.0008360265,0.00007860767],"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":[0.0003293433,0.0003132132,0.005739959,0.0008039282,0.0006384776,0.0004201072,0.0006096854,0.4691686,0.101315,0.05834085,0.003973222,0.3583476],"study_design_scores_gemma":[0.0000352326,0.0003649187,0.001278603,0.00003170561,0.0001997072,0.0005140489,0.00009600753,0.9418401,0.03382176,0.01082575,0.01091242,0.00007981378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02038224,0.0009354645,0.9762031,0.0001453544,0.00006868982,0.0001085534,0.00001868682,0.0005333932,0.001604465],"genre_scores_gemma":[0.5448237,0.001078422,0.4500963,0.0002568185,0.00009791377,0.0002568242,0.0001520762,0.0001006805,0.003137177],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001696481,"threshold_uncertainty_score":0.00818038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2359337686655813,"score_gpt":0.3361253757490391,"score_spread":0.1001916070834578,"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."}}