{"id":"W2154412114","doi":"10.1109/tadvp.2004.841675","title":"Simulation and sensitivity analysis of nonuniform transmission lines using integrated congruence transform","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Advanced Packaging","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Sensitivity (control systems); Discretization; Electric power transmission; Congruence (geometry); Computer science; Algorithm; Nonlinear system; Representation (politics); Electronic engineering; Mathematics; Engineering; Mathematical analysis","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":[0.0001514357,0.0001756676,0.0003123395,0.0004050049,0.0000896669,0.00001313317,0.0000278677,0.00007246057,0.00005250574],"category_scores_gemma":[0.000007597941,0.000172752,0.0001134878,0.001064371,0.00004629058,0.0002605256,2.277429e-7,0.0001932659,7.606023e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007274925,"about_ca_system_score_gemma":0.00001110906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001962371,"about_ca_topic_score_gemma":0.00005095187,"domain_scores_codex":[0.9991133,0.00005109278,0.0003160043,0.0001863258,0.0001420448,0.0001911831],"domain_scores_gemma":[0.9992296,0.0004372798,0.00003988242,0.0001291709,0.00007501306,0.00008903087],"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":[0.00002605955,0.00001875301,0.0000112337,0.00001423135,0.00007197919,5.239228e-7,0.0001709207,0.606653,0.09638493,0.000001945071,4.550066e-8,0.2966463],"study_design_scores_gemma":[0.0003347895,0.00004240645,0.0002661864,0.00004122057,0.0002671464,0.000001955635,0.00004547132,0.8525922,0.1461268,0.00001584338,0.0001131437,0.0001527589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3567931,0.00005409135,0.6427915,0.00002895109,0.00004592272,0.00009709573,0.00001178036,0.0001093831,0.00006820675],"genre_scores_gemma":[0.9324563,0.0000695915,0.06738901,0.00002856637,0.00000931483,0.000003253696,0.000003815772,0.00002090228,0.00001922634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5756632,"threshold_uncertainty_score":0.704462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649987807761974,"score_gpt":0.3024082179936456,"score_spread":0.2859083399160259,"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."}}