{"id":"W2765575891","doi":"10.1109/jmmct.2018.2829871","title":"Computational Analysis of Metasurfaces","year":2018,"lang":"en","type":"preprint","venue":"IEEE journal on multiscale and multiphysics computational techniques","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Multiphysics; Finite-difference time-domain method; Nonlinear system; Computer science; Scattering; Metamaterial; Domain (mathematical analysis); Computational electromagnetics; Physics; Electromagnetic field; Finite element method; Optics; Mathematics; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004150459,0.0005309891,0.0006394885,0.0005686103,0.0004099421,0.001120503,0.0008290684,0.001634286,0.002654409],"category_scores_gemma":[0.002220103,0.0002965401,0.0007746425,0.000381553,0.000921118,0.0008835888,0.001075235,0.0007570274,0.0003312338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005287918,"about_ca_system_score_gemma":0.0006659974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001780794,"about_ca_topic_score_gemma":0.001096154,"domain_scores_codex":[0.9997483,0.00007397569,0.00001064203,0.00003819012,0.00009078276,0.0000380938],"domain_scores_gemma":[0.9992693,0.000521443,0.00004623626,0.00005147575,0.00008190263,0.00002954944],"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":[0.00002693648,0.00001723396,0.0004770405,0.00006626915,0.00001880588,0.00009389785,0.00003827165,0.9580392,0.002313882,0.0337822,0.0004402791,0.004686038],"study_design_scores_gemma":[0.000003103066,0.000003609551,0.00004618811,0.000004040185,0.00000181169,0.00001183379,0.000008920171,0.9935095,0.0002760398,0.005707997,0.0004251809,0.00000190392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.113026,0.0008808569,0.8518215,0.001423433,0.0001494568,0.0000746538,0.0004438678,0.0003936289,0.03178658],"genre_scores_gemma":[0.8561451,0.000579801,0.1340576,0.0002323686,0.00008823596,0.0002376494,0.0004279725,0.0001914616,0.008039702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002654409,"threshold_uncertainty_score":0.00887984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03671704761836513,"score_gpt":0.3298736139554614,"score_spread":0.2931565663370963,"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."}}