{"id":"W1999201890","doi":"10.1109/wimob.2010.5644995","title":"A load-distributive QoS routing protocol for multi-service wireless mesh networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer network; Computer science; Wireless mesh network; Quality of service; Distributed computing; Resource Reservation Protocol; Routing protocol; Bandwidth (computing); Shared mesh; Order One Network Protocol; Dynamic Source Routing; Wireless network; Routing (electronic design automation); Wireless; Internet Protocol; The Internet; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007720693,0.0002951737,0.0002888239,0.00003059311,0.0002887454,0.0003379628,0.001667757,0.000251067,0.00006498102],"category_scores_gemma":[0.00007375806,0.0002553493,0.0001212592,0.0005746753,0.0000470123,0.0005245609,0.0006262528,0.0005425104,0.0000414211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008303312,"about_ca_system_score_gemma":0.0002240419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001275498,"about_ca_topic_score_gemma":0.0009552462,"domain_scores_codex":[0.9976222,0.00005803578,0.0004296949,0.0007645597,0.0003208916,0.0008046192],"domain_scores_gemma":[0.9976572,0.0002841655,0.0002227545,0.001017357,0.0005936588,0.0002248646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001946656,0.0009234428,0.002906002,0.0001882547,0.0001334048,0.00003211654,0.001297413,0.002945964,0.002730977,0.787774,0.03038356,0.1704902],"study_design_scores_gemma":[0.001840415,0.00007066811,0.0004611479,0.0000372787,0.000005176423,0.00001086191,0.0000194756,0.9827645,0.001574763,0.0002334056,0.01263712,0.000345188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.000222937,5.137558e-7,0.8862037,0.0003231122,0.0005414503,0.1110757,0.000003861246,0.0004452461,0.001183503],"genre_scores_gemma":[0.1089317,2.209626e-7,0.2496458,0.001769835,0.001206011,0.6376108,0.00001171809,0.00005242817,0.0007715666],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9798185,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03033699642976857,"score_gpt":0.3060361653284269,"score_spread":0.2756991688986584,"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."}}