{"id":"W2078174931","doi":"10.1016/j.compind.2012.08.017","title":"Evaluating alternative approaches to mobile object localization in wireless sensor networks with passive architecture","year":2012,"lang":"en","type":"article","venue":"Computers in Industry","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Trilateration; Wireless sensor network; Real-time computing; Computer science; Kalman filter; Key distribution in wireless sensor networks; Mobile wireless sensor network; Wireless; Wireless network; Node (physics); Computer network; Engineering; Artificial intelligence; 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":[0.0001695553,0.0002000456,0.0002109222,0.000282111,0.00003832574,0.00003078507,0.0001886575,0.0003534935,0.000007457096],"category_scores_gemma":[0.00002114015,0.0001829531,0.0000196683,0.0007399809,0.00004831797,0.0001137122,0.00007281633,0.0007603467,0.000003136996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002035235,"about_ca_system_score_gemma":0.00001576526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001828685,"about_ca_topic_score_gemma":0.00002157546,"domain_scores_codex":[0.9989234,0.00006582536,0.0002324914,0.0002027855,0.0001632771,0.0004121957],"domain_scores_gemma":[0.9995876,0.00009007932,0.00004128388,0.0001928012,0.00002235253,0.00006587755],"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":[0.00001222697,0.00002372027,0.02057863,0.0000243297,0.00001350913,0.000006568107,0.001638766,0.9338811,0.00001404545,0.0001593894,0.00009205154,0.04355567],"study_design_scores_gemma":[0.0004458326,0.00008345154,0.001650375,0.0002458587,0.000005361783,0.00001112514,0.001251118,0.9930944,0.002789991,0.00004305231,0.00009543142,0.0002840453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4658502,0.00006045955,0.532864,0.00002310826,0.0002901967,0.0004331153,0.000001839379,0.0001997447,0.0002773006],"genre_scores_gemma":[0.9900826,0.000004695556,0.009368196,0.00009212624,0.0001867479,0.0002077252,0.00001408269,0.00003611933,0.000007699682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5242324,"threshold_uncertainty_score":0.746061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05490122736423183,"score_gpt":0.2632087997271447,"score_spread":0.2083075723629129,"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."}}