{"id":"W3100145955","doi":"","title":"Routing Load of Route Discovery and Route Maintenance in Wireless Reactive Routing Protocols","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Alberta","funders":"","keywords":"Computer science; Dynamic Source Routing; Computer network; Link-state routing protocol; Zone Routing Protocol; Static routing; Wireless Routing Protocol; Distributed computing; Interior gateway protocol; Routing protocol; Routing Information Protocol; Policy-based routing; Distance-vector routing protocol; Destination-Sequenced Distance Vector routing; Routing (electronic design automation)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001642466,0.000581289,0.001064174,0.0001492877,0.00007488218,0.0004514838,0.001958672,0.0004357394,0.000004063398],"category_scores_gemma":[0.0001834042,0.0004526382,0.000173686,0.0003372292,0.0001714985,0.001290426,0.005818389,0.001007933,0.0000052595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007226109,"about_ca_system_score_gemma":0.0007916212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001159534,"about_ca_topic_score_gemma":0.0004357251,"domain_scores_codex":[0.9953859,0.0002665702,0.001185009,0.00164469,0.0006576666,0.0008601975],"domain_scores_gemma":[0.9961714,0.00045591,0.001198968,0.001778304,0.0002613114,0.0001341698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002885122,0.0004413503,0.1292281,0.001035679,0.0002871331,0.0002741785,0.005476762,0.002151927,0.003812184,0.6561093,0.000433722,0.2004611],"study_design_scores_gemma":[0.006244003,0.0004317102,0.09291445,0.03775024,0.00006380773,0.0001194263,0.0004670958,0.7517232,0.02029492,0.084803,0.0007391433,0.00444895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05434356,0.00004718899,0.9115037,0.000482671,0.000434427,0.01710804,0.00003275827,0.0002223993,0.01582526],"genre_scores_gemma":[0.9813442,0.00002436862,0.01108764,0.0001029123,0.000178028,0.00597296,0.000004105101,0.00004332136,0.001242481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9270006,"threshold_uncertainty_score":0.9997925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017933334277622,"score_gpt":0.2715902592140624,"score_spread":0.2536569249364404,"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."}}