{"id":"W2110625554","doi":"10.1109/mesh.2009.25","title":"MARE: An Efficient Reservation-Based MAC Protocol for IEEE 802.11s Mesh Networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer network; IEEE 802.11s; Reservation; Computer science; Overhead (engineering); Protocol (science); Inter-Access Point Protocol; Multiple Access with Collision Avoidance for Wireless; IEEE 802.11; Throughput; Wireless mesh network; Wireless; Wireless network; Telecommunications; Routing protocol; Wi-Fi; Operating system; Optimized Link State Routing Protocol","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":[0.002192222,0.0005310352,0.0006785952,0.0009083002,0.0006591936,0.0009399959,0.001956046,0.0007977993,0.002774867],"category_scores_gemma":[0.004856196,0.0003083737,0.0003883094,0.0005498525,0.0005758629,0.002038433,0.001328851,0.001304087,0.001054431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002702611,"about_ca_system_score_gemma":0.0004391412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003571419,"about_ca_topic_score_gemma":0.000591683,"domain_scores_codex":[0.9989908,0.0003138942,0.00007557941,0.00008038169,0.0004392789,0.0001000014],"domain_scores_gemma":[0.9987442,0.0005053934,0.000191878,0.0002750671,0.0002301728,0.00005318777],"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":[0.001391081,0.000433436,0.001487504,0.001112534,0.0002933765,0.0008467017,0.0006351629,0.05320428,0.1228399,0.1075125,0.03883399,0.6714095],"study_design_scores_gemma":[0.000378055,0.00126001,0.001402981,0.0001307993,0.0001865583,0.002446966,0.0002090923,0.6872569,0.06453905,0.03770228,0.2042064,0.0002809847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01929346,0.002709961,0.9627246,0.0008667685,0.0006769208,0.0004370481,0.0003060921,0.00545728,0.007527947],"genre_scores_gemma":[0.4734917,0.001822982,0.511132,0.0007244396,0.0004945236,0.0008220205,0.0008518752,0.0004013242,0.01025915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002774867,"threshold_uncertainty_score":0.01159376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305786150870407,"score_gpt":0.3082742123242014,"score_spread":0.2776955972371608,"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."}}