{"id":"W4387314894","doi":"10.23919/ursigass57860.2023.10265544","title":"Experimental Evaluation of Forward and Inverse Solvers for Metasurface Design","year":2023,"lang":"en","type":"article","venue":"","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Solver; Inverse; Inverse problem; Computer science; Electromagnetics; Power (physics); Computational science; Electronic engineering; Physics; Mathematics; Mathematical analysis; Engineering; Geometry","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":[0.0008563354,0.000620779,0.0002736684,0.0002522396,0.0002247564,0.0005296567,0.0007087877,0.0007286338,0.003037127],"category_scores_gemma":[0.001879878,0.0002290212,0.0002296512,0.0002780416,0.0003643029,0.0007390611,0.0005182454,0.0004711919,0.0006958373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003264713,"about_ca_system_score_gemma":0.0002448792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002451754,"about_ca_topic_score_gemma":0.0002674838,"domain_scores_codex":[0.9994262,0.00007303734,0.00002856334,0.00005605705,0.0003716634,0.00004435137],"domain_scores_gemma":[0.9988721,0.0003544003,0.0001254008,0.0002028032,0.0004005009,0.00004481124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001664353,0.0002301701,0.0004857978,0.000256006,0.00002126632,0.0001151369,0.0001801107,0.0129611,0.9579421,0.003600389,0.0006896714,0.02335183],"study_design_scores_gemma":[0.00003521618,0.0006392426,0.0004737097,0.00001756868,0.00001015341,0.0001138724,0.00005704986,0.04782019,0.9470379,0.0003490134,0.003429151,0.00001686305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7799481,0.0006282907,0.1939679,0.0004126534,0.0002135492,0.0002654714,0.0005723738,0.001293447,0.02269824],"genre_scores_gemma":[0.8603538,0.0003786784,0.1315924,0.00005391621,0.00002389989,0.0001889726,0.0002790403,0.0002126054,0.006916733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003037127,"threshold_uncertainty_score":0.01016021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1757110044005175,"score_gpt":0.3678498264815073,"score_spread":0.1921388220809897,"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."}}