{"id":"W2099753362","doi":"10.1109/tmtt.2005.857344","title":"Delay-extraction-based sensitivity analysis of multiconductor transmission lines with nonlinear terminations","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Carleton University","funders":"","keywords":"Sensitivity (control systems); Transmission line; Passivity; Nonlinear system; Electric power transmission; Electronic engineering; Time domain; Lossy compression; Equivalent circuit; Control theory (sociology); Exponential function; Frequency domain; Matrix (chemical analysis); Computer science; Mathematics; Topology (electrical circuits); Voltage; Engineering; Mathematical analysis; Telecommunications; Electrical engineering; Physics; Materials science; Statistics","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":[0.0003024984,0.0001711404,0.0002473057,0.0003926372,0.0001133152,0.00001260079,0.00004581588,0.0001061716,0.0000995878],"category_scores_gemma":[0.000003207222,0.0001450028,0.0001108799,0.0003733705,0.00011054,0.0001281627,4.248315e-7,0.0002280667,8.53495e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002923808,"about_ca_system_score_gemma":0.00001804335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001218876,"about_ca_topic_score_gemma":0.0001715458,"domain_scores_codex":[0.9992145,0.0001373058,0.000228167,0.000190767,0.0000966626,0.0001325897],"domain_scores_gemma":[0.9991835,0.0004380585,0.00003744978,0.0002129562,0.00006991504,0.00005812518],"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":[0.0001787125,0.0002196343,0.000007292895,0.00004228472,0.0001495643,0.000001664868,0.0001734743,0.02454389,0.8453196,0.00002084586,0.0000043984,0.1293386],"study_design_scores_gemma":[0.0001771533,0.000169157,0.00006416109,0.00006506967,0.0004987585,0.000008930732,0.00002344827,0.07878753,0.9197885,0.00005175205,0.0002099872,0.0001554879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5479285,0.00003930734,0.4515739,0.00002948887,0.00001279718,0.0001195772,0.00003574855,0.0001779057,0.00008274094],"genre_scores_gemma":[0.9661313,0.00007177143,0.03365558,0.00002253863,0.00001820957,0.00002025127,0.00001164668,0.00001888426,0.0000497969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4182028,"threshold_uncertainty_score":0.5913042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00638736939476987,"score_gpt":0.2398444847340539,"score_spread":0.233457115339284,"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."}}