{"id":"W2104087894","doi":"10.1145/1097064.1097075","title":"Error analysis of localization systems for sensor networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Wireless sensor network; Component (thermodynamics); Position (finance); Algorithm; Task (project management); Computation; Data mining; Process (computing); Artificial intelligence; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003343074,0.001104192,0.0007853197,0.001950504,0.0006668599,0.001231541,0.001025926,0.00118564,0.002218271],"category_scores_gemma":[0.02387397,0.0002879732,0.0007114955,0.001552451,0.00113482,0.002016287,0.001416496,0.001302084,0.0005535043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284144,"about_ca_system_score_gemma":0.0006333173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00417628,"about_ca_topic_score_gemma":0.00128217,"domain_scores_codex":[0.9962608,0.001077807,0.0002100348,0.0003648797,0.001883743,0.0002027207],"domain_scores_gemma":[0.9906199,0.005985793,0.0007709699,0.0006988407,0.001862257,0.00006219842],"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":[0.0001101382,0.00002221629,0.001776496,0.0002739807,0.00007624338,0.0001116235,0.0002491974,0.879245,0.003099331,0.06357377,0.001211937,0.05025014],"study_design_scores_gemma":[0.000005050286,0.00003564226,0.0005955179,0.00003432334,0.00001236596,0.00008645478,0.00003457803,0.9775277,0.001640633,0.01767404,0.002335936,0.00001780797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01329508,0.00180134,0.9817566,0.0002594702,0.00009983396,0.0000518649,0.00007726454,0.0002570285,0.002401559],"genre_scores_gemma":[0.8396546,0.004073767,0.1476375,0.0001896704,0.0003142264,0.00037129,0.0005774233,0.0003731047,0.006808463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00417628,"threshold_uncertainty_score":0.01768011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175167506094868,"score_gpt":0.2298432791344548,"score_spread":0.2180916040735061,"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."}}