{"id":"W2031991886","doi":"10.1145/1164717.1164747","title":"Performance analysis of a distributed comparison-based self-diagnosis protocol for wireless ad-hoc networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Wireless ad hoc network; Mobile ad hoc network; Ad hoc wireless distribution service; Computer network; Optimized Link State Routing Protocol; Vehicular ad hoc network; Wireless network; Wireless; Distributed computing; Protocol (science); Network packet; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004373,0.0002731178,0.0006876278,0.0002274162,0.000188159,0.0001544598,0.0009874434,0.0001488061,0.00005273498],"category_scores_gemma":[0.000005576212,0.0002288423,0.0003493793,0.002540582,0.00005281284,0.0002530621,0.0001163054,0.0001328989,0.000002261826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006333076,"about_ca_system_score_gemma":0.0001195378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004095699,"about_ca_topic_score_gemma":0.0001414192,"domain_scores_codex":[0.9977359,0.0000844811,0.0007836295,0.0005251231,0.0003437025,0.0005271595],"domain_scores_gemma":[0.9979569,0.0004445843,0.0004428369,0.0007578979,0.0002963003,0.0001014764],"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":[0.0001599675,0.0009383282,0.1958598,0.0002100937,0.0003046608,0.000001274451,0.00003013793,0.7551082,0.000005730649,0.00251155,0.01685913,0.02801121],"study_design_scores_gemma":[0.001416836,0.000321031,0.02422501,0.00006498506,0.0001177611,1.955148e-7,0.000002463613,0.9446657,0.0009580703,0.00003364136,0.02790867,0.0002856203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.003025724,0.00001161455,0.801756,0.000136152,0.00003278323,0.1945344,0.00002300568,0.0003052052,0.0001751572],"genre_scores_gemma":[0.3010579,0.000001162578,0.02897232,0.00007031883,0.00005398492,0.6697598,0.0000525482,0.00001234853,0.00001956798],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.7727836,"threshold_uncertainty_score":0.933192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972373647961094,"score_gpt":0.2931319071456898,"score_spread":0.2734081706660788,"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."}}