{"id":"W2036198192","doi":"10.1007/s11276-009-0220-z","title":"A sustainable heuristic QoS routing algorithm for pervasive multi-layered satellite wireless networks","year":2009,"lang":"en","type":"article","venue":"Wireless Networks","topic":"Satellite Communication Systems","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Quality of service; Computer network; Heuristic; Distributed computing; Packet loss; Routing (electronic design automation); Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007811289,0.0006594459,0.0007984191,0.0008584645,0.000630409,0.0006873243,0.001516463,0.0008263018,0.001736263],"category_scores_gemma":[0.00168987,0.0003905599,0.0004054317,0.000886545,0.0005299713,0.0006850763,0.0009385447,0.0006988511,0.0002426258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100773,"about_ca_system_score_gemma":0.001403093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005492084,"about_ca_topic_score_gemma":0.008101743,"domain_scores_codex":[0.9997382,0.00006415974,0.0000119241,0.00003679164,0.00008725784,0.0000617176],"domain_scores_gemma":[0.9994392,0.0002680551,0.00005455648,0.00006248129,0.0001169566,0.00005873102],"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":[0.000159359,0.00009428094,0.0007358945,0.00004709264,0.00005216434,0.00006595417,0.00005599893,0.8676694,0.003446794,0.009380664,0.002579986,0.1157124],"study_design_scores_gemma":[0.00002040222,0.00002584086,0.00007067715,0.000003260494,0.000008987502,0.00001788947,0.00001419504,0.9966555,0.0003995596,0.002411759,0.0003682698,0.000003709902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0629468,0.0003498389,0.9321173,0.0002369776,0.000110002,0.0000866073,0.00007413265,0.0006718178,0.003406546],"genre_scores_gemma":[0.529985,0.0002276369,0.4663531,0.000156427,0.00005187076,0.0001491715,0.0002396061,0.0001195175,0.002717665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005492084,"threshold_uncertainty_score":0.01092023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803460255802115,"score_gpt":0.246192164578561,"score_spread":0.2281575620205399,"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."}}