{"id":"W2921604842","doi":"10.22215/etd/2018-13482","title":"A Comparative Analysis between Centralized Routing and Distributed Routing in Multi-Hop Wireless Networks","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer network; Computer science; Emulation; Software-defined networking; Wireless network; Dynamic Source Routing; Policy-based routing; Distributed computing; Hierarchical routing; Link-state routing protocol; Wireless Routing Protocol; Routing protocol; Static routing; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005256229,0.0005121157,0.001330757,0.0003646107,0.0002668938,0.000468672,0.0007582462,0.0004588246,0.00001992517],"category_scores_gemma":[0.00005195174,0.0004733049,0.0002289528,0.002802603,0.00005108484,0.0003076672,0.0001994142,0.0005517277,0.000005606903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001109278,"about_ca_system_score_gemma":0.00007412296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047323,"about_ca_topic_score_gemma":0.004905702,"domain_scores_codex":[0.9968011,0.0002135032,0.0008410179,0.001044851,0.000324227,0.0007753153],"domain_scores_gemma":[0.9980238,0.0004985728,0.0005539497,0.0005236531,0.0002083364,0.0001916759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001559828,0.0003062504,0.9104082,0.0001084119,0.003600555,0.00006326775,0.01858444,0.01149351,0.00001992345,0.006605477,0.0009051861,0.04774877],"study_design_scores_gemma":[0.0006934509,0.0000264042,0.2670371,0.0001563102,0.0002725712,5.871228e-7,0.0005331699,0.7306978,0.00003763889,0.00004300471,0.00003121981,0.0004707897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2483873,0.0002105022,0.7502964,0.00002443544,0.0002726809,0.000318577,0.00002247432,0.0002297455,0.0002379377],"genre_scores_gemma":[0.9805834,0.00005489245,0.01645123,0.00004005698,0.0001631508,0.00002616517,0.002375965,0.00002000941,0.0002851332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7338452,"threshold_uncertainty_score":0.9997719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03295282314349945,"score_gpt":0.3053542163298144,"score_spread":0.272401393186315,"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."}}