{"id":"W7072499824","doi":"","title":"Vision-assisted mmWave beam management for next-generation wireless systems: concepts, solutions and open challenges","year":2023,"lang":"en","type":"article","venue":"ePrints Soton (University of Southampton)","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Engineering and Physical Sciences Research Council; National Natural Science Foundation of China","keywords":"Path loss; Beamforming; Wireless; Base station; Channel (broadcasting); Extremely high frequency; Software deployment; Beam (structure)","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":[0.0006855684,0.0003552432,0.0003298862,0.000252865,0.0003383596,0.001383578,0.0007661822,0.001004735,0.001396745],"category_scores_gemma":[0.0006935661,0.0002139893,0.0002701588,0.0003111903,0.0006833636,0.001654789,0.0009886619,0.001114491,0.0003706971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005950842,"about_ca_system_score_gemma":0.0006548751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001815772,"about_ca_topic_score_gemma":0.001442235,"domain_scores_codex":[0.9997577,0.00007371132,0.000008516493,0.00002497195,0.000104263,0.00003091848],"domain_scores_gemma":[0.9997907,0.00007012409,0.00002611823,0.00002984961,0.00006350069,0.00001963771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000888281,0.0001467986,0.001752601,0.0003169326,0.00006544204,0.0001545041,0.0002125722,0.3489751,0.02913305,0.1823383,0.007668339,0.4291475],"study_design_scores_gemma":[0.00001226743,0.0001134615,0.0006096239,0.00005459778,0.000009959146,0.0001056253,0.0001213798,0.9385518,0.007523272,0.03370718,0.01916405,0.00002678231],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01074304,0.004526942,0.9754268,0.001687055,0.0001438675,0.00003694056,0.00002852249,0.0002953376,0.007111481],"genre_scores_gemma":[0.6114023,0.009940391,0.3672878,0.0006858098,0.0003477698,0.0001479553,0.0001058629,0.00006532482,0.01001676],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001815772,"threshold_uncertainty_score":0.004672587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1374599489464239,"score_gpt":0.269666694547879,"score_spread":0.1322067456014551,"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."}}