{"id":"W4413343989","doi":"10.1109/lawp.2025.3600036","title":"Site-Specific Design Optimization of Reconfigurable Intelligent Surface Codebooks","year":2025,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Electronic engineering; Computer architecture; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004537291,0.0004574629,0.00045829,0.0003938218,0.0001484149,0.0006188859,0.0006416001,0.0005607901,0.001346637],"category_scores_gemma":[0.001214672,0.0002504049,0.0002942793,0.0002619704,0.0004922569,0.0004192037,0.0005773875,0.0003261365,0.0003439281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006582146,"about_ca_system_score_gemma":0.0005648386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008153019,"about_ca_topic_score_gemma":0.001242759,"domain_scores_codex":[0.9997901,0.00004716785,0.000008060624,0.00003192748,0.00008195861,0.00004068474],"domain_scores_gemma":[0.9995598,0.000166336,0.00008362297,0.0000485725,0.0001056844,0.00003597121],"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":[0.00002340791,0.00002469757,0.0004049278,0.00004105084,0.000009338805,0.00003490831,0.00001740419,0.9708958,0.009137276,0.005898616,0.0003048576,0.01320766],"study_design_scores_gemma":[0.000005701407,0.00004093703,0.00006992185,0.000002889528,0.000003027157,0.00001025883,0.000008170005,0.9968455,0.001553573,0.0009442529,0.0005124857,0.000003147667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.152123,0.0003657377,0.8273926,0.0001582466,0.00005851239,0.0001033608,0.0000927794,0.000391837,0.01931386],"genre_scores_gemma":[0.8793569,0.000135181,0.1181052,0.00003909657,0.000007912867,0.00009868005,0.00005876142,0.0000539826,0.002144323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001346637,"threshold_uncertainty_score":0.004775703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903422807260255,"score_gpt":0.2147071655167018,"score_spread":0.1956729374440992,"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."}}