{"id":"W1536563834","doi":"10.1109/ccece.2005.1557394","title":"Mobile ad-hoc networks with QoS and RSVP provisioning","year":2006,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer network; Computer science; Quality of service; Multiprotocol Label Switching; Integrated services; Scalability; Resource Reservation Protocol; Mobile ad hoc network; Differentiated services; Mobile QoS; Distributed computing; Service (business); Service provider; The Internet; Internet Protocol; Network packet","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":[],"consensus_categories":[],"category_scores_codex":[0.0001640351,0.0001573413,0.0001512972,0.00004134986,0.0001419535,0.000272009,0.0004016355,0.00006898521,0.00002818857],"category_scores_gemma":[0.000002093525,0.0001140518,0.00002302323,0.0003248033,0.0000582744,0.0004232065,0.0002606131,0.0001583794,0.00001513503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002013568,"about_ca_system_score_gemma":0.00003078183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000213739,"about_ca_topic_score_gemma":0.00008680762,"domain_scores_codex":[0.9987544,0.00003197629,0.0001780225,0.0004645131,0.0002057373,0.0003653853],"domain_scores_gemma":[0.9992157,0.0000730551,0.00006437843,0.0005070526,0.00004964454,0.000090176],"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":[0.00003288332,0.000152643,0.006722243,0.00002004309,0.00002567613,0.0001054742,0.0002816533,0.1595813,0.0000869748,0.04739466,0.03037403,0.7552225],"study_design_scores_gemma":[0.0006318965,0.0005883554,0.003084323,0.00005256703,0.000007249637,0.00007593805,0.00002487233,0.9151635,0.000140259,0.0007433218,0.07910562,0.0003820818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01877891,0.003935398,0.9652674,0.00007593412,0.000177892,0.0004363406,1.802851e-7,0.000379098,0.01094885],"genre_scores_gemma":[0.8355933,0.0001629462,0.1596288,0.0003622255,0.0003052081,0.0001356063,0.000002973031,0.00002421918,0.003784674],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8168144,"threshold_uncertainty_score":0.4650897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003561406129583963,"score_gpt":0.1918848639433719,"score_spread":0.188323457813788,"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."}}