{"id":"W2006960089","doi":"10.1109/icc.2010.5501947","title":"Wireless Sensor Network Localization with Spatially Correlated Shadowing","year":2010,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Semidefinite programming; Wireless sensor network; Covariance; Shadow mapping; Gaussian; Computer science; Mathematical optimization; Estimator; Covariance matrix; Gaussian noise; Mathematics; Algorithm; Artificial intelligence; Statistics; Physics; Computer network","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":[0.00006050138,0.0001401297,0.0001253621,0.0000590209,0.00009205624,0.000043675,0.00011219,0.000185457,0.0002117047],"category_scores_gemma":[0.00001497375,0.0001133921,0.00002137619,0.0003657818,0.00005045866,0.0001089185,0.00001766917,0.0002489128,0.00005735686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001570314,"about_ca_system_score_gemma":0.00001232159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002400394,"about_ca_topic_score_gemma":0.0002851138,"domain_scores_codex":[0.999334,0.000006410187,0.0001617161,0.0001303892,0.0001209094,0.0002465182],"domain_scores_gemma":[0.9996465,0.00002352508,0.00002088297,0.0002028373,0.00006663267,0.00003957742],"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":[0.0000119101,0.00001024241,0.01195085,0.00002701452,0.00003771764,0.00001352209,0.0001099726,0.9603714,0.002887936,0.0116338,0.002018456,0.01092722],"study_design_scores_gemma":[0.0002924881,0.00002559595,0.0004702999,0.00002323211,0.00001417765,0.00001429453,0.00006436559,0.9776546,0.01698986,0.0001747385,0.004030732,0.0002455965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1254092,0.00001541028,0.8590002,0.00004233777,0.0006277026,0.0001507056,0.000001305955,0.002774829,0.01197829],"genre_scores_gemma":[0.9943894,0.00001274984,0.005129071,0.0000877979,0.00009734549,0.000008328587,0.00002249169,0.0000425724,0.0002102435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8689802,"threshold_uncertainty_score":0.4623998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003500067897918336,"score_gpt":0.1718482069830698,"score_spread":0.1683481390851514,"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."}}