{"id":"W2052233400","doi":"10.1109/infcom.2010.5462006","title":"Towards an Efficient Reservation Algorithm for Distributed Reservation Protocols","year":2010,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Reservation; Quality of service; Leverage (statistics); Wireless; Distributed computing; Provisioning; Access control; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001073252,0.0001460468,0.0001514984,0.00006240707,0.0002422027,0.0004281072,0.0009746027,0.0001436887,0.00002820475],"category_scores_gemma":[0.00008909933,0.0001205773,0.00005953203,0.0004946013,0.00002961625,0.000683213,0.0001643954,0.0001935075,0.000008088328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002245039,"about_ca_system_score_gemma":0.0001282276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007231014,"about_ca_topic_score_gemma":0.00008575652,"domain_scores_codex":[0.9984595,0.00006177351,0.0003195094,0.0004546459,0.0003561701,0.0003484018],"domain_scores_gemma":[0.9983712,0.00007811285,0.0001285757,0.0008378009,0.0004469373,0.0001374024],"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":[0.00004787063,0.0004115607,0.0004389035,0.00004931196,0.00001089876,0.000002125885,0.0001939208,0.002792513,0.002852752,0.284446,0.007665432,0.7010887],"study_design_scores_gemma":[0.0006360691,0.0002794437,0.004402309,0.0000177959,0.000001376176,0.000001660215,0.00000493538,0.9186385,0.005160446,0.007226638,0.06345319,0.0001776041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002014648,6.84958e-7,0.9321356,0.001387915,0.0001821667,0.06359182,0.00002242406,0.000285908,0.0003788334],"genre_scores_gemma":[0.01064942,1.727986e-7,0.7489224,0.0003049058,0.0004860126,0.2392166,0.0001608149,0.00001860684,0.0002410176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.915846,"threshold_uncertainty_score":0.4916998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04205297560158228,"score_gpt":0.3376459230292547,"score_spread":0.2955929474276724,"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."}}