{"id":"W1982034752","doi":"10.1145/1089761.1089770","title":"QoS for data relaying in hierarchical wireless sensor networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer network; Wireless sensor network; Computer science; Network packet; Base station; Relay; Node (physics); Quality of service; Key distribution in wireless sensor networks; Sensor node; Focus (optics); Moment (physics); Network topology; Wireless; Topology (electrical circuits); Wireless network; Distributed computing; Telecommunications; Engineering; Electrical engineering","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":[0.002339028,0.000735989,0.0007258405,0.0006604468,0.0009512206,0.002023559,0.001654605,0.001555596,0.00279646],"category_scores_gemma":[0.00927762,0.0003503591,0.0004835706,0.0009939077,0.001459664,0.00330542,0.001266387,0.001318091,0.0008855087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633937,"about_ca_system_score_gemma":0.0009089733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002190715,"about_ca_topic_score_gemma":0.001459275,"domain_scores_codex":[0.9985373,0.0004343031,0.0001063955,0.0001880248,0.000614225,0.0001197814],"domain_scores_gemma":[0.9969751,0.001800443,0.0002875358,0.0003826554,0.0004154256,0.0001389948],"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":[0.0001105219,0.00004587123,0.0006227873,0.0004821863,0.00002585375,0.0003785696,0.0004407169,0.2081639,0.005368015,0.7128587,0.007416174,0.06408665],"study_design_scores_gemma":[0.00002375374,0.00008183143,0.0002100832,0.00007871859,0.00002186322,0.000259926,0.0001105286,0.6291539,0.001203782,0.3465971,0.02222549,0.00003297013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01267918,0.005607252,0.9671186,0.002978358,0.0004996106,0.00009294179,0.0001863626,0.0004739936,0.01036375],"genre_scores_gemma":[0.7260551,0.01182228,0.245839,0.001076126,0.001336135,0.0003996246,0.0004614189,0.000296868,0.01271343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00279646,"threshold_uncertainty_score":0.01237017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03445738966396188,"score_gpt":0.276098586916813,"score_spread":0.2416411972528511,"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."}}