{"id":"W2397051173","doi":"10.1504/ijict.2016.074849","title":"Tree-based modelling of redundancy and paths in wireless sensor networks","year":2016,"lang":"en","type":"article","venue":"International Journal of Information and Communication Technology","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Wireless sensor network; Key distribution in wireless sensor networks; Computer network; Software deployment; Redundancy (engineering); Wireless network; Base station; Wireless WAN; Distributed computing; Mobile wireless sensor network; Wireless; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003668801,0.0000715908,0.000143034,0.0006947976,0.00003021898,0.00004122465,0.0007814863,0.0001078208,0.00000194544],"category_scores_gemma":[0.00005206686,0.00005518726,0.00002636126,0.0002362091,0.0001324109,0.0007701148,0.000172161,0.0001592162,5.402305e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003795464,"about_ca_system_score_gemma":0.00003981139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009191976,"about_ca_topic_score_gemma":0.00000812467,"domain_scores_codex":[0.998971,0.00005313471,0.0006370627,0.0000586575,0.0001921591,0.00008791802],"domain_scores_gemma":[0.9983948,0.0001748024,0.0006660565,0.00025341,0.0004821858,0.00002868499],"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":[0.00006528378,0.00006906112,0.005933553,0.000007419417,0.00003116485,0.000003139909,0.00032754,0.1009209,0.0004381508,0.2076737,0.00002624451,0.6845039],"study_design_scores_gemma":[0.001235796,0.0000708791,0.0009142234,0.0003185299,0.000002743678,0.00006538638,0.0001359656,0.9919424,0.002178143,0.002464205,0.0005838462,0.00008786745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1899016,0.0002724701,0.8045511,0.004948987,0.00008789426,0.00003561379,8.464296e-7,0.0000212814,0.0001802155],"genre_scores_gemma":[0.9521162,0.001706781,0.04604611,0.0001122588,0.0000080716,0.000002282111,0.000001462026,0.000002575414,0.000004251204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8910215,"threshold_uncertainty_score":0.2250471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009096688711000162,"score_gpt":0.2189451208848475,"score_spread":0.2098484321738473,"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."}}