{"id":"W2802128095","doi":"10.5539/cis.v11n2p64","title":"An Enhanced Queue Management Approach for Greedy Routing in MANETs","year":2018,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer network; Mobile ad hoc network; Distributed computing; Packet forwarding; Network packet; Greedy algorithm; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009937297,0.0005101789,0.0006166406,0.0007888742,0.0008223617,0.000907596,0.00193664,0.0005367873,0.00165132],"category_scores_gemma":[0.001834806,0.0001909298,0.0004793011,0.0007756238,0.0004573645,0.001218926,0.0007731565,0.0006667557,0.0003151856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167449,"about_ca_system_score_gemma":0.001573568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004145657,"about_ca_topic_score_gemma":0.005367479,"domain_scores_codex":[0.9994401,0.0001175167,0.00004135314,0.0001021708,0.000205306,0.00009354325],"domain_scores_gemma":[0.9993988,0.0001846937,0.00006056297,0.00006658414,0.0002310175,0.00005834001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004453273,0.0002507005,0.002335452,0.0002755076,0.000125296,0.0003030786,0.0003190722,0.5658965,0.02109861,0.1049947,0.008641519,0.2953142],"study_design_scores_gemma":[0.00002905772,0.0001053365,0.0001474022,0.000008234889,0.00002506414,0.00006775854,0.00002229574,0.9857082,0.001350187,0.009721369,0.00279717,0.00001786761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.013291,0.0006583,0.9826962,0.0002591055,0.0002403252,0.0001207155,0.00006222761,0.0004239047,0.002248359],"genre_scores_gemma":[0.7094526,0.0008344399,0.2842755,0.0003304035,0.0002724645,0.0001699875,0.0001715445,0.00006786585,0.004425169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004145657,"threshold_uncertainty_score":0.008470476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190956446964628,"score_gpt":0.2534712854118189,"score_spread":0.2415617209421726,"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."}}