{"id":"W2085452434","doi":"10.1109/ccece.2012.6335028","title":"QoS aware green routing protocol for wireless sensor networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Wireless sensor network; Computer network; Quality of service; Routing protocol; Wireless Routing Protocol; Key distribution in wireless sensor networks; Routing (electronic design automation); Dynamic Source Routing; Key (lock); Distributed computing; Real-time computing; Wireless; Wireless network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000571897,0.0004778201,0.0004427162,0.0004861625,0.0006066383,0.0008061558,0.0007669854,0.0006184434,0.0007742691],"category_scores_gemma":[0.001043267,0.0001755086,0.0002625515,0.0007295454,0.0005170112,0.0008727192,0.0006803128,0.001155779,0.0003378317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005441259,"about_ca_system_score_gemma":0.0006826851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007636255,"about_ca_topic_score_gemma":0.0009107019,"domain_scores_codex":[0.9995621,0.0001393903,0.00003285353,0.00005058253,0.0001784522,0.00003649353],"domain_scores_gemma":[0.9995964,0.0001358471,0.00005457907,0.00005029891,0.0001339309,0.00002890171],"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":[0.0004669795,0.0001933085,0.001093383,0.001242921,0.0001690174,0.001071308,0.000618663,0.1444778,0.110823,0.202273,0.03393795,0.5036327],"study_design_scores_gemma":[0.000118067,0.0005455666,0.001269504,0.0002104912,0.0001497811,0.001321282,0.0002113239,0.675012,0.0319099,0.1314165,0.1576996,0.000136021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0229157,0.01192556,0.9489933,0.001902996,0.001149952,0.0003172395,0.0001792338,0.00133815,0.01127797],"genre_scores_gemma":[0.5579833,0.01272245,0.4107776,0.001205456,0.0005838528,0.0009279539,0.0009417351,0.0002468113,0.01461076],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0008061558,"threshold_uncertainty_score":0.003947973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054855436936279,"score_gpt":0.2895677593416891,"score_spread":0.2590192049723263,"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."}}