{"id":"W4388430578","doi":"10.1109/twc.2023.3328496","title":"Channel Estimation for Dynamic Metasurface Antennas","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Channel (broadcasting); MIMO; Wireless; Minimum mean square error; Throughput; Control channel; Algorithm; Base station; Electronic engineering; Telecommunications; Mathematics; Engineering; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000168366,0.0001562328,0.0001960627,0.0003089569,0.0004241166,0.00003864631,0.0004497376,0.00007763853,0.00001356145],"category_scores_gemma":[0.000004454262,0.000169549,0.0001803899,0.0008722906,0.00007096399,0.0001519311,0.000002124891,0.0001989507,0.0002251091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006770322,"about_ca_system_score_gemma":0.00001523882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001456632,"about_ca_topic_score_gemma":0.0001094341,"domain_scores_codex":[0.9992155,0.00004209134,0.0002496757,0.0001480286,0.000113398,0.0002312767],"domain_scores_gemma":[0.9986271,0.0002649779,0.00003246292,0.0009379458,0.00007299305,0.0000644918],"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":[0.00001362167,0.0001516373,0.000001516602,0.0000825431,0.0003785732,8.189964e-7,0.0006447514,0.9344303,0.03179827,0.0003815746,0.0004939502,0.03162246],"study_design_scores_gemma":[0.0002048191,0.0000185851,0.0000373675,0.00003680826,0.0001022789,0.000001550093,0.0002064608,0.9971707,0.001429097,0.0003036845,0.0003137221,0.0001748978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004523421,0.0001426953,0.9926409,0.000864657,0.000183941,0.0002799577,0.0001536043,0.001108203,0.0001026572],"genre_scores_gemma":[0.9927171,0.001433135,0.004511777,0.00003511001,0.000005560675,0.0003809948,0.00009817381,0.00005276387,0.0007653318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9881938,"threshold_uncertainty_score":0.6914008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479069672247971,"score_gpt":0.277168595993517,"score_spread":0.2423778992710373,"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."}}