{"id":"W4281393082","doi":"10.23919/eucap53622.2022.9769550","title":"Spatially Dispersive Electromagnetic Metasurfaces: Multipolar Modeling vs Extended GSTCs","year":2022,"lang":"en","type":"article","venue":"2022 16th European Conference on Antennas and Propagation (EuCAP)","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Surface (topology); Dispersion (optics); Dipole; Electromagnetic field; Physics; Field (mathematics); Set (abstract data type); Surface wave; Computational physics; Current (fluid); Optics; Mathematical analysis; Geometry; Mathematics; Computer science; Quantum mechanics; Pure mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001668985,0.0003330353,0.0004058377,0.0001260466,0.00104049,0.0003388247,0.0005060466,0.00003384753,0.004841242],"category_scores_gemma":[0.00009852841,0.0002968604,0.00008594568,0.0002608151,0.0001135505,0.0001836328,0.0002955748,0.0002910722,0.0002943078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005278175,"about_ca_system_score_gemma":0.0001267108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009371342,"about_ca_topic_score_gemma":0.0000234427,"domain_scores_codex":[0.9964061,0.001117777,0.0005927938,0.0008192215,0.0005979647,0.0004661723],"domain_scores_gemma":[0.9987082,0.00005303323,0.0003260531,0.000530047,0.0001922989,0.0001903424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000169538,0.0001372288,0.00002255106,0.0000281458,0.00001810297,0.00001415217,0.0006060419,0.001693149,0.9859204,0.008968404,0.0001097517,0.002312517],"study_design_scores_gemma":[0.003865444,0.00405996,0.002535169,0.0001495894,0.0004179298,0.0001394167,0.00351937,0.7747605,0.1593083,0.002914313,0.04591648,0.002413444],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869919,0.0005040596,0.005213027,0.0009406576,0.0004804087,0.0009361469,0.0001888748,0.0001569072,0.004587967],"genre_scores_gemma":[0.9948379,0.0004293388,0.002626869,0.0005044696,0.00006100428,0.0001454403,0.0001348732,0.00005707389,0.001203062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8266121,"threshold_uncertainty_score":0.9999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0325577696073,"score_gpt":0.2464334861981016,"score_spread":0.2138757165908016,"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."}}