{"id":"W4317892903","doi":"10.36227/techrxiv.21919152.v1","title":"An Implicit IE-GSTC Metasurface Forward Solver","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Solver; HFSS; Transverse plane; Electric field; Mathematics; Order (exchange); Applied mathematics; Mathematical analysis; Algorithm; Computer science; Physics; Mathematical optimization; Quantum mechanics; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002787654,0.0005089733,0.0006114941,0.0003540301,0.0002225169,0.0008455306,0.001205551,0.001685896,0.005171198],"category_scores_gemma":[0.0009301406,0.0003399744,0.0005924163,0.0004634236,0.0003990333,0.0008414071,0.001047727,0.001124859,0.001145522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762347,"about_ca_system_score_gemma":0.001153894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001663641,"about_ca_topic_score_gemma":0.001672764,"domain_scores_codex":[0.9998558,0.00001928738,0.000006407352,0.00001600954,0.00008598669,0.00001660705],"domain_scores_gemma":[0.9997146,0.0001052327,0.00002415449,0.00003974345,0.0001005322,0.00001570978],"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":[0.00007946824,0.00007682871,0.0007374363,0.0002764503,0.00004275338,0.0003029387,0.0001874728,0.8049831,0.03704137,0.07758019,0.002909539,0.07578254],"study_design_scores_gemma":[0.00001194254,0.000009252979,0.00003527665,0.000009159877,0.000002502653,0.00004595063,0.00001165055,0.9930205,0.002248931,0.001867555,0.002732338,0.000004912167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007985008,0.00010347,0.9835237,0.0001471971,0.00005443277,0.00004490467,0.0001086651,0.0002973521,0.007735325],"genre_scores_gemma":[0.1541366,0.0002525207,0.8290453,0.0001790667,0.0000459401,0.0002548877,0.000385773,0.0002755999,0.01542429],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005171198,"threshold_uncertainty_score":0.01729941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.037554302921062,"score_gpt":0.2898509471222238,"score_spread":0.2522966442011618,"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."}}