{"id":"W4402978713","doi":"10.1109/ap-s/inc-usnc-ursi52054.2024.10687274","title":"Optimization of Reconfigurable Intelligent Surfaces for Enhanced Beam Manipulation","year":2024,"lang":"en","type":"article","venue":"","topic":"Laser and Thermal Forming Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Beam (structure); Computer architecture; Engineering; Structural 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":[0.00006182291,0.00004687922,0.0000571508,0.0000404462,0.000009330156,0.00001519376,0.00003411786,0.00003163032,0.0001637982],"category_scores_gemma":[0.000003733484,0.00004045237,0.00002848229,0.00006021049,0.000004107137,0.0001072858,0.000002344558,0.00002032059,0.000004654891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001808531,"about_ca_system_score_gemma":0.00000343243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009645439,"about_ca_topic_score_gemma":0.000002689959,"domain_scores_codex":[0.9997367,0.000001497983,0.0001156175,0.00005455174,0.00003161936,0.00006002431],"domain_scores_gemma":[0.9998853,0.00002378384,0.000006100125,0.00005400201,0.00002058642,0.00001027105],"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":[0.000003939414,0.000004300093,0.000002103994,0.0002294646,0.00002129911,9.666633e-8,0.0001040602,0.9318635,0.0545817,0.003941258,0.0004498138,0.008798504],"study_design_scores_gemma":[0.00001188697,0.00001458021,0.000001927692,0.00002792403,0.000003989886,2.293146e-7,0.000006945935,0.4231023,0.5752493,0.0009350263,0.0006138479,0.00003210676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03531402,0.0001869775,0.9451844,0.000009242922,0.0002080674,0.0001736175,0.000005094408,0.0006772894,0.01824132],"genre_scores_gemma":[0.9849973,0.00009747672,0.01431204,0.000002358389,0.00001580097,0.0000191457,0.00002209808,0.00001509102,0.0005186977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9496832,"threshold_uncertainty_score":0.1793475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800489123885215,"score_gpt":0.2489817801576561,"score_spread":0.2309768889188039,"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."}}