{"id":"W4364321640","doi":"10.1109/jiot.2023.3265655","title":"IRS-Assisted High-Speed Train Communications: Performance Analysis and Optimal Configuration","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Toyota Motor Corporation; National Natural Science Foundation of China; Royal Society; Amazon Catalyst; U.S. Department of Transportation; National Science Foundation","keywords":"Computer science; Computer network; 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":[0.0003447882,0.0001213517,0.0002522018,0.0005759436,0.00008803706,0.00006743792,0.0007854264,0.00009084902,0.00002384453],"category_scores_gemma":[0.00007132556,0.0001200953,0.0000767435,0.0006815878,0.0001643175,0.0005083346,0.0001039652,0.000474777,0.00001142911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007093886,"about_ca_system_score_gemma":0.000009950134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001761216,"about_ca_topic_score_gemma":0.000006440777,"domain_scores_codex":[0.9990956,0.00004348761,0.0004557177,0.00008839651,0.000162394,0.0001543936],"domain_scores_gemma":[0.9989584,0.0001542336,0.0002045044,0.0005260941,0.0001154803,0.00004127206],"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":[0.00008156989,0.00009629768,0.003924079,0.0002006084,0.002605332,0.00001285591,0.009013883,0.3467472,0.1930775,0.002447873,0.002607824,0.4391849],"study_design_scores_gemma":[0.0003890098,0.00006388885,0.01770773,0.0001242731,0.0001058529,0.00005033223,0.0007136653,0.8906538,0.08910666,0.0003716697,0.0005095204,0.0002035879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.91054,0.000401402,0.08768617,0.0003777702,0.0001293101,0.00006535122,0.000003738462,0.000458152,0.0003381408],"genre_scores_gemma":[0.9805206,0.003062468,0.01622322,0.00001808236,0.00001235077,0.000005889086,0.00001659517,0.00001826875,0.000122526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5439066,"threshold_uncertainty_score":0.4897343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02630944679925898,"score_gpt":0.2643049538787838,"score_spread":0.2379955070795248,"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."}}