{"id":"W2126621567","doi":"10.1109/20.877620","title":"Design sensitivities for scattering-matrix calculation with tetrahedral edge elements","year":2000,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Scattering; Enhanced Data Rates for GSM Evolution; Tetrahedron; Matrix (chemical analysis); Computer science; Materials science; Optics; Physics; 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":[0.00007079346,0.0001884529,0.0001341006,0.00009961065,0.0000913098,0.0000401712,0.00005446299,0.00006765283,0.0001527556],"category_scores_gemma":[7.109563e-7,0.0001901146,0.0000517121,0.0001131958,0.00003053756,0.00007130931,1.687795e-7,0.0001161956,0.00003818339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004915032,"about_ca_system_score_gemma":0.00001050779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004302345,"about_ca_topic_score_gemma":0.000006899973,"domain_scores_codex":[0.9992795,0.00001310474,0.0001878591,0.0001490309,0.0001096223,0.0002608587],"domain_scores_gemma":[0.9996713,0.00006604214,0.00001088263,0.0001638911,0.00002863659,0.00005923609],"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":[0.0000359029,0.00002520927,0.000001862974,0.00005652896,0.00003639197,0.000002506302,0.0001610348,0.9491192,0.01345108,0.000002941341,0.0004016097,0.03670576],"study_design_scores_gemma":[0.0009111327,0.0004812436,0.0001045289,0.00007407511,0.0000962483,0.00003375046,0.00003391322,0.8371181,0.1563205,0.000021572,0.004348027,0.0004568401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06577523,0.00005126332,0.9330066,0.00002532426,0.0002224858,0.0002941388,0.0000468852,0.0003239753,0.0002541071],"genre_scores_gemma":[0.9607567,0.00005653458,0.03685724,0.00002084545,0.00006196662,0.00004860752,0.000007339522,0.00006223466,0.00212853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8961493,"threshold_uncertainty_score":0.775265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239336968901472,"score_gpt":0.2176952743807851,"score_spread":0.2053019046917704,"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."}}