{"id":"W2078839847","doi":"10.1007/s11235-011-9452-1","title":"EOBDBR: an Efficient Optimum Branching-Based Distributed Broadcast Routing protocol for wireless ad hoc networks","year":2011,"lang":"en","type":"article","venue":"Telecommunication Systems","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Wireless Routing Protocol; Optimized Link State Routing Protocol; Distributed computing; Wireless ad hoc network; Routing protocol; Link-state routing protocol; Dynamic Source Routing; Zone Routing Protocol; Ad hoc wireless distribution service; Wireless; Routing (electronic design automation); 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":[0.0009906674,0.0005267165,0.001033381,0.0007700128,0.0007440952,0.0007823928,0.001642843,0.0006554464,0.002341718],"category_scores_gemma":[0.002501804,0.0002898205,0.0002870325,0.001024388,0.0005216795,0.001104645,0.001779387,0.001644055,0.0006021096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007566895,"about_ca_system_score_gemma":0.001218886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556438,"about_ca_topic_score_gemma":0.003204737,"domain_scores_codex":[0.9992309,0.0002080551,0.0000344119,0.00008795662,0.0003295011,0.000109238],"domain_scores_gemma":[0.9990809,0.0004271377,0.00007796149,0.0001430508,0.0001752644,0.00009557873],"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":[0.001710132,0.0003367225,0.0009245997,0.000435416,0.00008090477,0.0001786097,0.0002821308,0.2225956,0.05468786,0.06606405,0.01938235,0.6333216],"study_design_scores_gemma":[0.0002341952,0.0001967515,0.0002961445,0.00003311125,0.00003733308,0.0001525699,0.00005074108,0.9505122,0.009499878,0.02961008,0.009342759,0.00003415945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01877235,0.001011699,0.9727435,0.0003513447,0.0001661317,0.0001399399,0.0002064703,0.002300159,0.004308418],"genre_scores_gemma":[0.4025392,0.0009887621,0.5886024,0.0002833892,0.0001053187,0.0002763754,0.0007403664,0.0002964844,0.006167599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002341718,"threshold_uncertainty_score":0.007833838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05016412436585522,"score_gpt":0.2956203713096008,"score_spread":0.2454562469437456,"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."}}