{"id":"W4317419463","doi":"10.1109/vtc2022-fall57202.2022.10012935","title":"Cooperative Positioning with the Aid of Reconfigurable Intelligent Surfaces and Zero Access Points","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cramér–Rao bound; Computer science; Wireless; Upper and lower bounds; Component (thermodynamics); Scheme (mathematics); Architecture; Real-time computing; Electronic engineering; Algorithm; Telecommunications; Estimation theory; Engineering; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003340858,0.0003468278,0.000478236,0.0004059896,0.0006434782,0.00007870243,0.001713576,0.00020012,0.0002080207],"category_scores_gemma":[0.00006623326,0.0002928188,0.00005152439,0.001265257,0.0007982637,0.0003062054,0.0005975713,0.001378046,0.000009895085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001607027,"about_ca_system_score_gemma":0.00008225747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008010045,"about_ca_topic_score_gemma":0.0003223893,"domain_scores_codex":[0.9982378,0.0001242201,0.0004292139,0.0004524883,0.0003281716,0.0004280679],"domain_scores_gemma":[0.9982603,0.0001654351,0.0002239169,0.001085363,0.0002206452,0.00004435801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000172036,0.0002914692,0.01387304,0.0002394732,0.001067216,0.000108714,0.001856875,0.6952296,0.1323328,0.1053221,0.001889192,0.04761741],"study_design_scores_gemma":[0.002129793,0.001464231,0.00153661,0.0003349394,0.0001847922,0.0004383243,0.02272747,0.1198498,0.8017387,0.02616134,0.02137641,0.002057569],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359159,0.003016207,0.05441722,0.003664342,0.0001580083,0.000728944,0.00006836468,0.0009848448,0.001046116],"genre_scores_gemma":[0.9959636,0.00148777,0.001656497,0.00009830663,0.000005049116,0.0005621746,0.00003046273,0.0000522914,0.000143885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6694059,"threshold_uncertainty_score":0.9999524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743898224010829,"score_gpt":0.2416103909923518,"score_spread":0.2241714087522435,"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."}}