{"id":"W2139096736","doi":"10.1109/infcom.2003.1208680","title":"Optimizing route-cache lifetime in ad hoc networks","year":2004,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cache; Computer network; Dynamic Source Routing; DSRFLOW; Latency (audio); Distributed computing; Source routing; Routing (electronic design automation); Routing protocol; 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":[0.0009678353,0.0005656101,0.0004565582,0.0006132404,0.0004255919,0.0007169382,0.0008677292,0.0005676673,0.0004377818],"category_scores_gemma":[0.00441174,0.0002777337,0.0001582697,0.0006056467,0.0003402602,0.001323306,0.0004160663,0.0002884557,0.0001628347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008168432,"about_ca_system_score_gemma":0.0005880035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662588,"about_ca_topic_score_gemma":0.002562444,"domain_scores_codex":[0.9995216,0.0001927455,0.00002092014,0.00004808125,0.000154152,0.00006245558],"domain_scores_gemma":[0.9984239,0.0008664799,0.0002180885,0.0001877892,0.0002477909,0.00005593369],"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":[0.0001392539,0.00008814484,0.002901446,0.0001499113,0.00006921756,0.0001015194,0.0001135489,0.8497375,0.02145557,0.008891416,0.001121331,0.1152312],"study_design_scores_gemma":[0.00001988401,0.000158787,0.0006918942,0.0000115509,0.00003740167,0.0001958037,0.00006716193,0.9795564,0.009862627,0.006991709,0.002392135,0.00001459804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4416762,0.007122837,0.5415512,0.0005245463,0.00008781988,0.00007328373,0.0001184494,0.001007905,0.007837747],"genre_scores_gemma":[0.9598089,0.0009817804,0.03764017,0.00003773793,0.00002665473,0.00003328786,0.00008530547,0.00007738685,0.001308658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001662588,"threshold_uncertainty_score":0.005926609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154908102001365,"score_gpt":0.2250140453776835,"score_spread":0.2134649643576698,"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."}}