{"id":"W2145799811","doi":"10.1145/581291.581302","title":"Pro-active route maintenance in DSR","year":2002,"lang":"en","type":"article","venue":"ACM SIGMOBILE Mobile Computing and Communications Review","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Network packet; Computer network; DSRFLOW; Latency (audio); Node (physics); Routing protocol; Throughput; Routing (electronic design automation); Real-time computing; Dynamic Source Routing; Wireless; 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":[0.001903358,0.0006691916,0.0005618674,0.001086139,0.0006055131,0.0009529391,0.00194374,0.0008779183,0.001308616],"category_scores_gemma":[0.007065241,0.000449029,0.0003410537,0.0009501776,0.0006024457,0.002717267,0.00113022,0.0009780062,0.0007806479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004992092,"about_ca_system_score_gemma":0.0006116813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163115,"about_ca_topic_score_gemma":0.001133729,"domain_scores_codex":[0.9982328,0.0005583679,0.0001337312,0.0003049481,0.0006335246,0.0001364682],"domain_scores_gemma":[0.9947601,0.001195924,0.0006826275,0.002395456,0.0008154125,0.0001505437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001049666,0.0003353357,0.006351405,0.0005826163,0.0001468015,0.0005649906,0.0005451113,0.106788,0.07329474,0.03387159,0.007787484,0.7686822],"study_design_scores_gemma":[0.0002244697,0.00154216,0.003189766,0.0001326267,0.0002424202,0.003519287,0.0003368757,0.7830038,0.1008991,0.02794874,0.07882853,0.0001321971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1212587,0.002807191,0.8567923,0.0007236947,0.0003708024,0.0003744749,0.0002536633,0.004978326,0.01244075],"genre_scores_gemma":[0.703504,0.001044335,0.2889487,0.0003011514,0.0001363251,0.0001515353,0.0004515979,0.0002170345,0.005245281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00194374,"threshold_uncertainty_score":0.01006603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0416933509808121,"score_gpt":0.303140535613777,"score_spread":0.2614471846329649,"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."}}