{"id":"W3188122282","doi":"10.1109/iwcmc51323.2021.9498987","title":"A Mobile Node Assisted Localization System for Wireless Sensor Networks","year":2021,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province","keywords":"Drone; Computer science; Wireless sensor network; Real-time computing; Node (physics); Hybrid positioning system; Positioning system; Sensor node; Wireless; Key distribution in wireless sensor networks; Wireless network; Computer network; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005148017,0.0001151165,0.000160389,0.00004764089,0.0000759023,0.00004679152,0.00007360885,0.0001706563,0.00002819437],"category_scores_gemma":[0.00001656043,0.0001117831,0.00005870514,0.0003042172,0.00001681458,0.00005322196,0.00001956149,0.00005996911,0.00001232456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008594635,"about_ca_system_score_gemma":0.00001286692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003068723,"about_ca_topic_score_gemma":0.00001079809,"domain_scores_codex":[0.9993544,0.00001237762,0.0002035041,0.0001478334,0.00007734018,0.0002045504],"domain_scores_gemma":[0.9995633,0.00003611964,0.00001957002,0.0002078688,0.0001434146,0.00002977873],"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":[0.000005026395,0.0000147648,0.0002707723,0.0003309375,0.00004349672,0.00001041833,0.00005292725,0.9776717,0.00150183,0.006734448,0.004015826,0.009347892],"study_design_scores_gemma":[0.0002937854,0.00001216704,0.00002232978,0.00004047859,0.00001632088,0.00001539614,0.0009885477,0.9262241,0.06435465,0.00001300601,0.00787026,0.0001489798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002895563,0.00029471,0.9897727,0.000009961814,0.0004649857,0.0002296096,0.000009691982,0.002257299,0.004065441],"genre_scores_gemma":[0.9948481,0.00005082094,0.004131377,0.00005312224,0.00006971602,0.0001443273,0.00009676712,0.00003988036,0.0005659023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9919525,"threshold_uncertainty_score":0.4558383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009132940176190962,"score_gpt":0.2115161943514763,"score_spread":0.2023832541752854,"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."}}