{"id":"W4323645991","doi":"10.1109/fnwf55208.2022.00130","title":"Vision-Assisted User Clustering for Robust mmWave-NOMA Systems","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Ericsson (Canada)","funders":"King Fahd University of Petroleum and Minerals","keywords":"Computer science; Cluster analysis; Robustness (evolution); Channel state information; Base station; User equipment; Noma; Real-time computing; Data mining; Artificial intelligence; Telecommunications link; Wireless; 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":[0.0001051275,0.0001157998,0.0001512321,0.000116571,0.0002303309,0.00003614195,0.0004751702,0.00004540125,0.00007060968],"category_scores_gemma":[0.00002409739,0.0001225614,0.0000464889,0.0002139448,0.00002068556,0.0001232931,0.0003626372,0.0001739623,0.000008945539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832633,"about_ca_system_score_gemma":0.000006268527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008468282,"about_ca_topic_score_gemma":0.00001227918,"domain_scores_codex":[0.9993013,0.00001810137,0.0002270233,0.0001385518,0.0001145784,0.000200511],"domain_scores_gemma":[0.9991738,0.0001240272,0.00003589355,0.0006121162,0.00002907208,0.00002515388],"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":[0.000004477944,0.00001312168,0.00002551591,0.00005230194,0.00001768572,8.400729e-7,0.00002829165,0.9800671,0.002220958,0.002579309,0.003786983,0.01120335],"study_design_scores_gemma":[0.0002752902,0.00004373963,0.0001368952,0.00001264951,0.000003633091,0.00001350433,0.001314204,0.9071755,0.0008473426,0.0000708369,0.08991479,0.0001916525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008424363,0.0008818975,0.9831695,0.0001731235,0.0004905697,0.0004823632,0.0000258113,0.003185882,0.003166522],"genre_scores_gemma":[0.9479389,0.00005083279,0.0500566,0.00002071833,0.00001654444,0.0007481869,0.00002393916,0.0000535247,0.001090776],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9395145,"threshold_uncertainty_score":0.4997908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661628674290676,"score_gpt":0.247480794289975,"score_spread":0.2208645075470682,"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."}}