{"id":"W1981783992","doi":"10.1016/j.adhoc.2012.01.009","title":"Extended sliding frame R-Aloha: Medium access control (MAC) protocol for mobile networks","year":2012,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Aloha; Computer network; Computer science; Frame (networking); Protocol (science); Access control; Multiple Access with Collision Avoidance for Wireless; Throughput; Telecommunications; Wireless; Network packet; Optimized Link State Routing Protocol; Medicine; 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":[0.001571864,0.0009073547,0.00104284,0.001242711,0.001012349,0.001347984,0.001748107,0.001244308,0.006476372],"category_scores_gemma":[0.003337157,0.0002393731,0.0004161607,0.001269585,0.0007397837,0.001811351,0.001331599,0.001681874,0.002283997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005961367,"about_ca_system_score_gemma":0.001211288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001764742,"about_ca_topic_score_gemma":0.001454488,"domain_scores_codex":[0.9990221,0.00029107,0.00007195726,0.0001648982,0.0003021884,0.0001477846],"domain_scores_gemma":[0.9981427,0.0005098453,0.0001436547,0.0004184132,0.0006803648,0.0001050816],"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":[0.002297877,0.0002627882,0.0006716748,0.001106416,0.0001727335,0.0008722736,0.0006231183,0.03817469,0.07973694,0.08904299,0.033481,0.7535575],"study_design_scores_gemma":[0.0004405036,0.001548728,0.001103381,0.0001991634,0.0003417674,0.001503721,0.0002468739,0.7165675,0.07000669,0.05956585,0.1482478,0.0002280223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009183936,0.002540605,0.9769637,0.0003560637,0.0006577047,0.0003012513,0.0002774439,0.004508348,0.005211028],"genre_scores_gemma":[0.5120458,0.003346406,0.4542072,0.0007203479,0.0007992353,0.00103945,0.001119433,0.0003644123,0.02635774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006476372,"threshold_uncertainty_score":0.02166563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02548474315513389,"score_gpt":0.3181532074813243,"score_spread":0.2926684643261904,"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."}}