{"id":"W4402968228","doi":"10.1109/ap-s/inc-usnc-ursi52054.2024.10687038","title":"Numerical Modelling of Spatially Dispersive Metasurfaces with Normal Surface Susceptibilities","year":2024,"lang":"en","type":"article","venue":"","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Surface (topology); Tunable metamaterials; Materials science; Optics; Physics; Metamaterial; Geometry; 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":[],"consensus_categories":[],"category_scores_codex":[0.00007346752,0.00009609765,0.0001208179,0.00002602362,0.00002031693,0.00003641073,0.00004690552,0.00002757189,0.0001890967],"category_scores_gemma":[0.000004130865,0.00007434963,0.00003202247,0.0001437254,0.00003048386,0.0002411081,0.000003557835,0.00007822586,0.00002156991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002548788,"about_ca_system_score_gemma":0.00002978529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007231928,"about_ca_topic_score_gemma":0.00003529739,"domain_scores_codex":[0.9994374,0.00001353034,0.0001597654,0.0001052519,0.0001482312,0.0001358429],"domain_scores_gemma":[0.9997541,0.00008373625,0.00001065271,0.00007691597,0.00004085661,0.0000337332],"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":[0.00001076356,0.000005351203,0.0001049648,0.00009494675,0.00005349992,0.000001163466,0.001702947,0.9900768,0.005762312,0.00192065,0.0001350801,0.0001315576],"study_design_scores_gemma":[0.00006519314,0.00008644969,0.00002617724,0.00002483495,0.00001916588,0.000002186601,0.0003102894,0.9586397,0.04051984,0.0001316889,0.00007324196,0.0001011972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.366342,0.0002378937,0.6288718,0.0000464734,0.00006815708,0.00006470127,0.000006005495,0.0001797461,0.004183205],"genre_scores_gemma":[0.9779584,0.00003522112,0.02160084,0.000008542466,0.00001042772,0.000002520434,0.00001501216,0.00001854089,0.0003504724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6116164,"threshold_uncertainty_score":0.303189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357062530826761,"score_gpt":0.2025316878744789,"score_spread":0.1889610625662113,"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."}}