{"id":"W4400680287","doi":"10.1109/cefc61729.2024.10585691","title":"Application of the Deep Operator Network (DeepONet) to Electromagnetic Simulations","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Operator (biology)","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":[0.00005554325,0.00006446344,0.00005831859,0.00003550963,0.000103518,0.00006146222,0.0005305889,0.00002174741,0.00000971053],"category_scores_gemma":[0.000007711209,0.0000462776,0.00003958629,0.00117479,0.00001562377,0.0001128294,0.0001485477,0.00006012253,0.00002757671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002647533,"about_ca_system_score_gemma":0.00004078676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006312634,"about_ca_topic_score_gemma":0.000009546475,"domain_scores_codex":[0.9993377,0.0000154864,0.0001648282,0.0002245687,0.0001368044,0.0001206221],"domain_scores_gemma":[0.9993645,0.00009769984,0.00002296478,0.0004063769,0.0000709198,0.00003751747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[2.749829e-7,0.000009700684,0.00001548845,0.000003134594,0.000003051401,7.777501e-8,0.00003377105,0.1617178,0.005108379,0.8107661,0.0005429643,0.02179922],"study_design_scores_gemma":[0.00001642377,0.00002709866,0.0007048013,0.000007715463,0.00000305314,0.000002913467,0.000001008395,0.8537986,0.002581352,0.1194178,0.02337595,0.00006319425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001828196,0.0001069773,0.9929599,0.003255497,0.00004901429,0.0003908806,0.000001366731,0.0002553178,0.001152815],"genre_scores_gemma":[0.7256495,0.000001723111,0.2735513,0.0004833855,0.00004794349,0.00008470813,0.000001657504,0.000005074938,0.0001746046],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7238213,"threshold_uncertainty_score":0.1887146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006431864534788383,"score_gpt":0.2717175639592504,"score_spread":0.265285699424462,"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."}}