{"id":"W1498617973","doi":"10.1002/dac.2785","title":"An efficient distributed routing protocol for wireless sensor networks with mobile sinks","year":2014,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computer network; Routing protocol; Zone Routing Protocol; Wireless Routing Protocol; Dynamic Source Routing; Enhanced Interior Gateway Routing Protocol; Network packet; Distributed computing; Overhead (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":[0.001213171,0.0003909628,0.0004618395,0.000643673,0.0003699602,0.000675202,0.001016835,0.0005242609,0.0005569237],"category_scores_gemma":[0.002169912,0.0002551372,0.0003300076,0.0005476429,0.0003645577,0.001272644,0.001187584,0.0006268967,0.0002227056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003386293,"about_ca_system_score_gemma":0.0005595973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004069944,"about_ca_topic_score_gemma":0.0006726271,"domain_scores_codex":[0.9994067,0.0002076987,0.00006733222,0.00005998072,0.0002322407,0.00002617536],"domain_scores_gemma":[0.9994619,0.0001984651,0.00006838466,0.00008099199,0.0001644023,0.00002584555],"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":[0.0002920089,0.0001230428,0.0008315252,0.0004843125,0.0001819685,0.0006859115,0.0003469063,0.4032766,0.1054575,0.08991262,0.007175373,0.3912322],"study_design_scores_gemma":[0.00008296005,0.0002218211,0.0002693371,0.00003944676,0.00006918225,0.0003730186,0.00004340075,0.9337117,0.0171488,0.02084102,0.02715068,0.00004859671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01391482,0.0008189921,0.982762,0.0002570813,0.0001423116,0.0001241953,0.00005429698,0.0004981693,0.0014282],"genre_scores_gemma":[0.4500763,0.001156984,0.5426779,0.0001535489,0.00009142195,0.0004783074,0.0002970278,0.00007715074,0.00499154],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001213171,"threshold_uncertainty_score":0.006415963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458987321632121,"score_gpt":0.2971124017599049,"score_spread":0.2825225285435837,"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."}}