{"id":"W2133214344","doi":"10.1109/tmtt.2003.821908","title":"An Adjoint Variable Method for Time-Domain Transmission-Line Modeling With Fixed Structured Grids","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Classification of discontinuities; Transmission line; Time domain; Sensitivity (control systems); Function (biology); Computational electromagnetics; Variable (mathematics); Mathematics; Transmission (telecommunications); Electric power transmission; Mathematical analysis; Applied mathematics; Algorithm; Computer science; Electronic engineering; Physics; Electromagnetic field; Engineering","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":[0.0005209762,0.0002286809,0.0002580463,0.0001306998,0.0001565919,0.00002941683,0.00008755974,0.0001475808,0.00007823195],"category_scores_gemma":[0.000002963148,0.0001900279,0.00006173305,0.0001828484,0.0000421615,0.0001103461,3.825585e-7,0.0002380888,7.618769e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000430676,"about_ca_system_score_gemma":0.00002307883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005689435,"about_ca_topic_score_gemma":0.000001836708,"domain_scores_codex":[0.9990556,0.0001552405,0.0002244066,0.0002534839,0.00007911537,0.0002321846],"domain_scores_gemma":[0.9994138,0.0002062672,0.00002148624,0.0001954659,0.00004780759,0.0001151738],"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":[0.0003586799,0.00004626282,1.885116e-8,0.00002999284,0.00003489401,6.742042e-7,0.0001410707,0.187796,0.7179853,0.002346332,0.000001928059,0.09125887],"study_design_scores_gemma":[0.000583427,0.0007983421,1.377877e-7,0.00005659848,0.00005928283,0.00002663098,0.00002742588,0.07421357,0.8030291,0.1208451,0.0001328109,0.000227613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02145294,0.00007351459,0.9769666,0.00003556622,0.00003651883,0.0004612104,0.00002469893,0.0007191907,0.0002298011],"genre_scores_gemma":[0.3434529,0.00002656324,0.6562644,0.00008108656,0.00002110063,0.00006533302,0.000005373983,0.00004280802,0.00004038591],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.322,"threshold_uncertainty_score":0.7749114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008377131783487157,"score_gpt":0.2673214123491131,"score_spread":0.258944280565626,"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."}}