{"id":"W4322832277","doi":"10.48550/arxiv.2303.00299","title":"Static Power Consumption Modeling and Measurement of Reconfigurable Intelligent Surfaces","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province; European Commission; Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Field-programmable gate array; Computer science; Energy consumption; Dynamic demand; Power (physics); Varicap; Embedded system; Wireless; Electronic circuit; Efficient energy use; Work (physics); Power consumption; Electronic engineering; Electrical engineering; Engineering; Telecommunications; Capacitance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002414635,0.000220402,0.0003292333,0.0001901186,0.00003623041,0.00001404928,0.000204588,0.0001770524,0.00001680655],"category_scores_gemma":[0.00004869554,0.0002498623,0.00007028004,0.0001351566,0.00008308289,0.00009048936,0.000139776,0.0003141046,0.00002335004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001363682,"about_ca_system_score_gemma":0.00002482142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004654122,"about_ca_topic_score_gemma":0.00004812215,"domain_scores_codex":[0.9991113,0.00002301963,0.0002159082,0.0003551152,0.00007991571,0.0002147385],"domain_scores_gemma":[0.9993588,0.00003807779,0.00008341788,0.0003423136,0.0001261757,0.00005124888],"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":[0.00001082006,0.00001052134,0.0005375623,0.0004020432,0.0001268453,0.00001386303,0.00009515876,0.9944504,0.002984023,0.001104765,0.00002825878,0.0002357661],"study_design_scores_gemma":[0.0001625401,0.00002478813,0.0001414348,0.0004028342,0.00009097407,7.392788e-7,0.0008503445,0.9755898,0.00555891,0.01682367,0.00005597365,0.0002980359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7927419,0.0008148355,0.2051934,0.00001336652,0.0002890062,0.0001973321,0.00002581978,0.000564697,0.0001596447],"genre_scores_gemma":[0.9901736,0.009111611,0.0005451054,0.000002187504,0.000002958956,9.916492e-7,0.000006315027,0.00003078855,0.0001264295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2046483,"threshold_uncertainty_score":0.9999954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.179417421749211,"score_gpt":0.2086895830876633,"score_spread":0.02927216133845237,"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."}}