{"id":"W4296910864","doi":"10.1109/ap-s/usnc-ursi47032.2022.9887094","title":"Augmented Power Pattern Synthesis Through the Use of Space-Time Metasurfaces","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Power (physics); Space time; Computer science; Finite-difference time-domain method; Space (punctuation); Spacetime; Field (mathematics); Time domain; Metamaterial; Frequency domain; Domain (mathematical analysis); Electronic engineering; Algorithm; Optics; Physics; Mathematics; Engineering; Computer vision","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002745535,0.0002780659,0.0003746939,0.0001625174,0.00144526,0.0005360204,0.0007825663,0.00004575363,0.001131334],"category_scores_gemma":[0.0002638321,0.0002050658,0.0000952128,0.0005321285,0.000769826,0.0006460069,0.0002635702,0.0001866929,0.00002704419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011923,"about_ca_system_score_gemma":0.00008901443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000334272,"about_ca_topic_score_gemma":0.000007571934,"domain_scores_codex":[0.9964672,0.0003984242,0.0006180222,0.0007656887,0.001342956,0.0004076893],"domain_scores_gemma":[0.9981427,0.0004019853,0.0006267823,0.0004222156,0.0002739118,0.00013245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008995504,0.0001301471,0.0003390219,0.00001516867,0.00003554731,0.000002547158,0.001178862,0.002301468,0.9925104,0.001491097,0.001127736,0.0007779984],"study_design_scores_gemma":[0.0008233832,0.0004865837,0.002949853,0.0001920843,0.0001935298,0.0001219947,0.001737526,0.04507318,0.8784242,0.0003241178,0.06896473,0.0007087643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857413,0.0002162148,0.0005422073,0.009849491,0.001818689,0.0005928645,0.0002803133,0.00005901954,0.0008998736],"genre_scores_gemma":[0.9961496,0.0002935887,0.001648986,0.0006709823,0.00006453562,0.0001583089,0.00002000104,0.00002522133,0.0009687812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1140862,"threshold_uncertainty_score":0.9998547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334057172635928,"score_gpt":0.2678373383390626,"score_spread":0.2344316210754698,"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."}}