{"id":"W1480596045","doi":"10.1109/icc.2015.7249377","title":"Cost-effective and accurate nodes localization in heterogeneous wireless sensor networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Institut National de la Recherche Scientifique","funders":"","keywords":"Wireless sensor network; Computer science; Transmission (telecommunications); Key distribution in wireless sensor networks; Wireless; Wireless network; Computer network; Distributed computing; Algorithm; Real-time computing; 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":[0.00008058194,0.0001133068,0.000128335,0.00009015304,0.00002197173,0.00003469917,0.00005391441,0.0001268972,0.0000060844],"category_scores_gemma":[0.00002978104,0.0001032778,0.00001215083,0.0002168467,0.00003945826,0.00009841435,0.00002786583,0.00008559029,0.000008115062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006744955,"about_ca_system_score_gemma":0.000004604271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002592794,"about_ca_topic_score_gemma":0.00009440972,"domain_scores_codex":[0.9994843,0.00002212404,0.0001342812,0.0001200283,0.00006342777,0.0001758467],"domain_scores_gemma":[0.9997633,0.0000344371,0.00001369123,0.00009891244,0.00004371117,0.00004597925],"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":[0.000008020575,0.000005740929,0.004450691,0.00001309039,0.000007880175,0.000009529467,0.0001664329,0.9765603,0.00003763891,0.000294399,0.0002067292,0.01823956],"study_design_scores_gemma":[0.0003941884,0.00001909988,0.000300139,0.00001359869,0.000003615736,0.00001039648,0.0002709584,0.9882917,0.009736788,0.0001269682,0.0006933491,0.0001392012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1856253,0.0003477582,0.8114814,0.00002391953,0.0001766051,0.0005445217,0.000002061219,0.0007578062,0.001040676],"genre_scores_gemma":[0.9994259,0.0001253987,0.0002317089,0.00007055425,0.0000212536,0.00007261996,0.000009053742,0.00002032673,0.00002316524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8138006,"threshold_uncertainty_score":0.4211546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312182784303023,"score_gpt":0.2473322137644945,"score_spread":0.2242103859214643,"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."}}