{"id":"W2535641182","doi":"10.1109/icima.2004.1384260","title":"Power-efficient routing in sensor information systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Wireless sensor network; Computer network; Routing protocol; Computer science; Wireless Routing Protocol; Key distribution in wireless sensor networks; Energy consumption; Hazy Sighted Link State Routing Protocol; Mobile wireless sensor network; Zone Routing Protocol; Dynamic Source Routing; Efficient energy use; Distributed computing; Routing (electronic design automation); Wireless network; Wireless; Engineering; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004121465,0.0001260569,0.0001363496,0.0002217454,0.00006792501,0.0002619464,0.0004675126,0.00007499624,0.000008799136],"category_scores_gemma":[0.00003056205,0.0001134501,0.00003555018,0.0005878786,0.00001575225,0.0006427615,0.0001517774,0.0001392983,0.0002831926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001457166,"about_ca_system_score_gemma":0.00002671666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006554112,"about_ca_topic_score_gemma":0.00001184502,"domain_scores_codex":[0.9985766,0.00006003569,0.0004280442,0.000206839,0.0003414878,0.0003869355],"domain_scores_gemma":[0.9992489,0.00008044649,0.0001093297,0.0004181325,0.00007097598,0.00007225046],"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":[0.000001019963,0.00002758536,0.0001700781,0.000002486073,0.000001436958,0.000002085349,0.000546359,0.8679684,0.00003399491,0.1279447,0.0001481552,0.003153679],"study_design_scores_gemma":[0.000231103,0.00001438641,0.0008551259,0.00002769879,4.684941e-7,0.00001469372,0.0001574904,0.9927874,0.0002526279,0.000001601822,0.005508357,0.0001490632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1796395,0.00004388231,0.7665375,0.0005609699,0.0006131084,0.0001866697,4.379009e-7,0.0003910085,0.05202691],"genre_scores_gemma":[0.9793273,0.000002274313,0.02005424,0.0002971218,0.00005384968,0.000007114009,0.000001708846,0.000005105668,0.0002512818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7996878,"threshold_uncertainty_score":0.462636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006407278376675459,"score_gpt":0.2041307534945395,"score_spread":0.1977234751178641,"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."}}