{"id":"W2103571421","doi":"10.1109/vetecf.2008.252","title":"Vehicular Collaborative Technique for Location Estimate Correction","year":2008,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Multipath propagation; Vehicular ad hoc network; Global Positioning System; Real-time computing; Computer network; Wireless ad hoc network; Telecommunications; Wireless","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":[0.0007559364,0.0006751512,0.0009794688,0.001052857,0.0006648255,0.0007527252,0.001521388,0.001085473,0.002716166],"category_scores_gemma":[0.002841624,0.0003345876,0.0007652952,0.001469233,0.0003919758,0.001030904,0.001415915,0.0009434858,0.001485337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004649194,"about_ca_system_score_gemma":0.0009583329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005292734,"about_ca_topic_score_gemma":0.005613767,"domain_scores_codex":[0.9988679,0.0001913944,0.00005044209,0.0002048254,0.0005835989,0.0001018293],"domain_scores_gemma":[0.9989548,0.0002763465,0.0001037528,0.0001939955,0.0004405308,0.00003066595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003990505,0.00009263185,0.001442647,0.0001763305,0.0001444208,0.0003406473,0.0002634437,0.2057651,0.04301081,0.01881818,0.005796283,0.7237504],"study_design_scores_gemma":[0.00003053759,0.0001399924,0.0004861357,0.00001800328,0.00004871472,0.0004387646,0.00006730149,0.96776,0.01784411,0.003012859,0.01011963,0.00003400022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003642644,0.0001975411,0.994304,0.00004740747,0.00009053999,0.00001930128,0.00001893582,0.0004407909,0.001238777],"genre_scores_gemma":[0.4353744,0.0006433614,0.5499802,0.000151659,0.0001988022,0.0001328581,0.0002315312,0.0001197095,0.01316759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005292734,"threshold_uncertainty_score":0.01052386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008531506838926412,"score_gpt":0.2305438862059899,"score_spread":0.2220123793670635,"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."}}