{"id":"W4200607764","doi":"10.3390/en14248219","title":"Reconfigurable Intelligent Surfaces for 5G and beyond Wireless Communications: A Comprehensive Survey","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec à Chicoutimi","funders":"","keywords":"Transmitter; Wireless; Wavefront; Wireless network; Computer science; Radio wave; Radio propagation; Telecommunications; Wireless sensor network; Electronic engineering; Engineering; Channel (broadcasting); Computer network; Physics","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":[0.0001036408,0.0001423401,0.0002272131,0.00006073036,0.0001511418,0.00005730999,0.0004352195,0.00008537593,0.00001051941],"category_scores_gemma":[0.0001234175,0.0001558111,0.0000320064,0.0002042278,0.0001886742,0.0001467532,0.0001080686,0.0001470089,0.000004780899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003657525,"about_ca_system_score_gemma":0.00002014691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000385796,"about_ca_topic_score_gemma":0.0004283582,"domain_scores_codex":[0.9993058,0.00006968078,0.0002300783,0.0001567034,0.00006214429,0.0001755613],"domain_scores_gemma":[0.9976532,0.00102586,0.00004411167,0.00103317,0.0002144143,0.0000291806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003207405,0.0001155619,0.002850334,0.0004388568,0.0003765746,0.000003694357,0.001528975,0.6257302,0.08397701,0.05101196,0.005979167,0.2279556],"study_design_scores_gemma":[0.0004647378,0.00004114455,0.005048051,0.0001045429,0.00001541352,0.00001333547,0.006362399,0.06584837,0.8102881,0.008414716,0.1027783,0.0006208946],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015439,0.08166635,0.009704698,0.0009108201,0.0002870082,0.0003393506,0.0001371372,0.001461334,0.003949455],"genre_scores_gemma":[0.9487508,0.03720019,0.01348706,0.00004551443,0.000005905029,0.000124063,0.0001536001,0.00003186803,0.0002010249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7263111,"threshold_uncertainty_score":0.6353793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0489377585396344,"score_gpt":0.2815527612720732,"score_spread":0.2326150027324388,"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."}}