{"id":"W4211000743","doi":"10.1109/jiot.2022.3150038","title":"A Directly Connected OTA Measurement for Performance Evaluation of 5G Adaptive Beamforming Terminals","year":2022,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"China Postdoctoral Science Foundation","keywords":"Beamforming; Computer science; Antenna (radio); MIMO; Base station; Antenna array; Throughput; Channel (broadcasting); Electronic engineering; Telecommunications; Wireless; Engineering","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":[0.002394778,0.0001251859,0.0002539454,0.0001971972,0.00007362706,0.0000143856,0.000220652,0.00003229389,0.00006769959],"category_scores_gemma":[0.0001641124,0.000130098,0.00009734966,0.0001217763,0.00001807378,0.0004150896,0.00002106059,0.0002217512,5.108387e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006009229,"about_ca_system_score_gemma":0.00006899908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001205849,"about_ca_topic_score_gemma":0.000002305495,"domain_scores_codex":[0.9982798,0.00007755934,0.0006149937,0.0001053617,0.0007527063,0.0001695777],"domain_scores_gemma":[0.9984789,0.00005298387,0.0004785179,0.0001079489,0.0008419174,0.00003974822],"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":[0.0001478495,0.00003654796,0.00007821143,0.0001162182,0.0001748382,7.849735e-7,0.003721584,0.8721576,0.09905553,0.00001666048,0.0003808144,0.02411332],"study_design_scores_gemma":[0.0007865509,0.0003122925,0.00004280699,0.0003024684,0.00008378024,0.00009135748,0.0003727903,0.8197851,0.1778436,0.00009392745,0.000170351,0.0001150017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5212097,0.0005147852,0.4758246,0.00001076816,0.001251734,0.0005109473,0.00001032891,0.0000439661,0.0006231973],"genre_scores_gemma":[0.9892246,0.00001456384,0.01052862,0.000009473571,0.00006888466,0.00007837121,0.000002735124,0.00003068491,0.00004208105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4680149,"threshold_uncertainty_score":0.5305242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0489495539316168,"score_gpt":0.265438714642777,"score_spread":0.2164891607111601,"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."}}