{"id":"W4393305249","doi":"10.1109/comst.2024.3383093","title":"Beam Alignment in mmWave V2X Communications: A Survey","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McMaster University","funders":"Fundamental Research Funds for the Central Universities; Shaanxi Province Postdoctoral Science Foundation; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Telecommunications; Computer network","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":[0.006753683,0.0003122715,0.0004618117,0.0003986792,0.0001864973,0.0001973858,0.00199821,0.000204761,0.00002802072],"category_scores_gemma":[0.0004873604,0.0003568147,0.00008930707,0.001369759,0.0002104547,0.0005291105,0.0003240789,0.0004715936,0.0002856776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006559939,"about_ca_system_score_gemma":0.0001234896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164227,"about_ca_topic_score_gemma":0.005748266,"domain_scores_codex":[0.9952176,0.002757262,0.001084059,0.0003225089,0.0002357533,0.0003827897],"domain_scores_gemma":[0.9914917,0.003145104,0.00009339258,0.004965394,0.0002049672,0.00009946252],"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":[0.00004631135,0.001551674,0.01714159,0.001154471,0.001425825,0.0000305036,0.01446587,0.7661682,0.04699335,0.03025999,0.04684081,0.07392145],"study_design_scores_gemma":[0.002757573,0.0001990594,0.0265107,0.002585912,0.000203658,0.00005298908,0.001007938,0.6284597,0.008375413,0.004722587,0.3211921,0.003932334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03288393,0.1130053,0.7725078,0.001478697,0.02864047,0.007246749,0.002522391,0.007896901,0.03381769],"genre_scores_gemma":[0.9816303,0.007219257,0.009073564,0.0000183194,0.000196503,0.0005916646,0.000839298,0.0001244563,0.0003066825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9487463,"threshold_uncertainty_score":0.9998884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06567025664363488,"score_gpt":0.3194012608008825,"score_spread":0.2537310041572477,"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."}}