{"id":"W1501836740","doi":"10.23919/eumc.2010.5616318","title":"Hybridisation of 2D frequency domain TLM with the MoM-discretised 2D-EFIE","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electric-field integral equation; Method of moments (probability theory); Metamaterial; Integral equation; Transmission line; Physics; Frequency domain; Mathematical analysis; Boundary value problem; Plane wave; Mathematics; Optics; Computer science; Telecommunications","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":[0.0004326424,0.0005830461,0.000611148,0.0003857205,0.0002006555,0.0007128178,0.001000838,0.001414403,0.003915092],"category_scores_gemma":[0.001410731,0.000359258,0.000626398,0.0003015191,0.000448617,0.000799063,0.0007636558,0.0008833716,0.0008850895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003145405,"about_ca_system_score_gemma":0.0004016537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009042344,"about_ca_topic_score_gemma":0.001020074,"domain_scores_codex":[0.99977,0.00007266546,0.00001163553,0.00001904483,0.0001054269,0.00002111862],"domain_scores_gemma":[0.9994256,0.0003246958,0.00004734035,0.000111005,0.00007166658,0.00001963408],"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":[0.00009830135,0.00010697,0.0005988135,0.0002792589,0.00005561924,0.0003134779,0.0001816752,0.8964486,0.0453155,0.01991252,0.0006506258,0.03603873],"study_design_scores_gemma":[0.000009640957,0.00001529296,0.00006318947,0.000008832227,0.000002925345,0.00005139708,0.00001453869,0.9934174,0.003834153,0.001183737,0.001390702,0.000008275315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01469069,0.00006257053,0.9808924,0.00007179975,0.00004633707,0.00004497825,0.00005044161,0.0004734689,0.003667442],"genre_scores_gemma":[0.3122889,0.0002157374,0.6798658,0.0001442301,0.00004786674,0.0003025615,0.0002711573,0.0003910581,0.00647269],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003915092,"threshold_uncertainty_score":0.01309735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005846993263282398,"score_gpt":0.1971540580740717,"score_spread":0.1913070648107893,"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."}}