{"id":"W2016884675","doi":"10.1145/1454503.1454550","title":"A hybrid-routing based intra-domain mobility management scheme for wireless mesh networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer network; Computer science; Wireless mesh network; Mobility management; Handover; Routing (electronic design automation); Distributed computing; Scheme (mathematics); Dynamic Source Routing; Wireless ad hoc network; Routing protocol; Wireless; Wireless network; 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":[0.0005205103,0.0002939465,0.0002853207,0.0005293097,0.0004690353,0.0003663997,0.001086276,0.000478404,0.001194501],"category_scores_gemma":[0.0006432477,0.0001053834,0.000289432,0.0003783476,0.0002669699,0.001015285,0.0007761387,0.000466257,0.0004851748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003269519,"about_ca_system_score_gemma":0.000200587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003330866,"about_ca_topic_score_gemma":0.0006241106,"domain_scores_codex":[0.9997309,0.00007866795,0.00002442494,0.00004133146,0.00009074379,0.00003397746],"domain_scores_gemma":[0.9996808,0.00005050057,0.00003942192,0.0001049014,0.00009952515,0.00002494667],"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":[0.0004217349,0.0001763905,0.001204145,0.0002509661,0.0001217031,0.0002932692,0.0002333093,0.03225357,0.2063201,0.06005497,0.008458341,0.6902115],"study_design_scores_gemma":[0.0001233028,0.001259643,0.002782897,0.0000605319,0.0001745502,0.001918536,0.0001221389,0.7682581,0.07607216,0.02333573,0.1257059,0.0001865647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04577099,0.00132803,0.9425156,0.0004289271,0.0003957752,0.0001940857,0.000154066,0.001446162,0.007766396],"genre_scores_gemma":[0.6539757,0.0007323582,0.3334387,0.0002593184,0.0002033519,0.0002732021,0.0006005789,0.00008843168,0.01042838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001194501,"threshold_uncertainty_score":0.003996015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516895177005139,"score_gpt":0.2302833351545042,"score_spread":0.2151143833844529,"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."}}