{"id":"W2594910557","doi":"10.1109/ccwc.2017.7868487","title":"Scalability in mobile Ad hoc networks with Brownian mobility","year":2017,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Computer network; Wireless ad hoc network; Computer science; Network packet; Mobile ad hoc network; Node (physics); Scalability; Network topology; Routing protocol; Optimized Link State Routing Protocol; Packet forwarding; Topology (electrical circuits); Distributed computing; Wireless; Mathematics; Telecommunications; Engineering","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":[0.002073307,0.0006773992,0.0007553663,0.001079405,0.000788489,0.001250677,0.0008829235,0.0009834564,0.001023241],"category_scores_gemma":[0.009326656,0.0004207978,0.0006196526,0.001023037,0.001651725,0.004079486,0.001422727,0.0009679556,0.0001756104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008919426,"about_ca_system_score_gemma":0.0004223817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625184,"about_ca_topic_score_gemma":0.0007156122,"domain_scores_codex":[0.9987405,0.000581305,0.00004673472,0.0001484511,0.0002739393,0.0002089932],"domain_scores_gemma":[0.9940022,0.004689963,0.000499128,0.0001808853,0.00040043,0.0002274438],"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":[0.0001497431,0.00007939118,0.00602799,0.0004435316,0.0001596667,0.001064139,0.0007165737,0.7522689,0.006428645,0.1985681,0.003202067,0.03089119],"study_design_scores_gemma":[0.00001599752,0.0001240546,0.001228462,0.00004350223,0.00003500954,0.0002921923,0.0002334349,0.9162538,0.0006866449,0.07875921,0.002298653,0.0000289391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2648373,0.01687302,0.6854919,0.005475108,0.0005137983,0.0002390998,0.0002658024,0.0004563319,0.02584762],"genre_scores_gemma":[0.9748961,0.003930598,0.01757649,0.0001856634,0.0004121292,0.0001496142,0.00007632287,0.00005796905,0.00271509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002073307,"threshold_uncertainty_score":0.01096481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089158408296566,"score_gpt":0.2436067116571942,"score_spread":0.2327151275742285,"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."}}