{"id":"W4392399537","doi":"10.1109/lcomm.2024.3372585","title":"A General Analytical Framework for the Resolution of Near-Field Beamforming","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Beamforming; Computer science; Field (mathematics); Telecommunications; Algorithm; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001506767,0.0000738236,0.00008923022,0.000054885,0.0001392155,0.00004510538,0.000388848,0.00005695542,0.000003861519],"category_scores_gemma":[0.00008111617,0.00006332166,0.00007066106,0.0002598337,0.00007454934,0.0001206231,0.00003335301,0.000200821,0.000005514689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006218399,"about_ca_system_score_gemma":0.0000120895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001615359,"about_ca_topic_score_gemma":0.00000924926,"domain_scores_codex":[0.999496,0.00002163552,0.0002224581,0.00007675466,0.00006093247,0.0001222633],"domain_scores_gemma":[0.9981443,0.0009429954,0.00002341104,0.0008410399,0.00002957382,0.00001871914],"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":[0.000004163764,0.000007048602,0.00001616792,0.00008768623,0.00008397748,2.078315e-7,0.0005556951,0.9492503,0.006192201,0.03141603,0.006734296,0.005652221],"study_design_scores_gemma":[0.00004114135,0.000007973068,0.00001026057,0.0001039588,0.00003551835,0.000002438245,0.0000395301,0.9821192,0.0009799522,0.000457486,0.01613411,0.00006844928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001966781,0.001652776,0.9900502,0.005318527,0.0003845098,0.0002535487,0.00001033676,0.0001724639,0.0001908454],"genre_scores_gemma":[0.6615995,0.0002274246,0.3375606,0.0002836043,0.0001175451,0.0001387945,0.00001441932,0.00003095187,0.00002722082],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6596327,"threshold_uncertainty_score":0.2582182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02965483823859971,"score_gpt":0.3019419565248547,"score_spread":0.272287118286255,"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."}}