{"id":"W2120655456","doi":"10.1109/mwsym.2002.1011792","title":"On passive time-domain macromodels of distributed transmission line networks","year":2003,"lang":"en","type":"article","venue":"","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Frequency domain; Spurious relationship; Passivity; Transmission line; Computer science; Time domain; Transient (computer programming); Transmission (telecommunications); Transient response; Domain (mathematical analysis); Distributed element model; Electric power transmission; Line (geometry); Control theory (sociology); Electronic engineering; Frequency response; Algorithm; Topology (electrical circuits); Telecommunications; Mathematics; Engineering; Electrical 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007231179,0.0001238087,0.0001767018,0.00002263488,0.00005761544,0.00001051471,0.00007694175,0.00003129364,0.001800176],"category_scores_gemma":[0.000001695739,0.00009426811,0.00007163802,0.0001268918,0.0000233871,0.00002767907,0.000006195683,0.0001050669,0.00002504941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001064304,"about_ca_system_score_gemma":0.00002423171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001408037,"about_ca_topic_score_gemma":7.640365e-8,"domain_scores_codex":[0.9992667,0.00005068779,0.0001827338,0.000161876,0.00009786488,0.0002400865],"domain_scores_gemma":[0.9996153,0.00005837006,0.00005769823,0.000155485,0.00002918919,0.00008402464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001920788,0.001453655,0.0006773624,0.0000197587,0.0002812099,0.000004240334,0.0004566048,0.03369546,0.03548383,0.865518,0.01967855,0.04253919],"study_design_scores_gemma":[0.006503445,0.003080066,0.0004203782,0.0002095157,0.0001570859,0.000003774288,0.0002462928,0.128788,0.2468321,0.5902256,0.02218003,0.001353775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2495713,0.00003475378,0.6568599,0.0001683771,0.00004028551,0.0001406732,0.00002923314,0.00003392341,0.09312153],"genre_scores_gemma":[0.9965463,0.00000117183,0.001293224,0.00003175156,0.0000501726,0.000007516281,0.0000865714,0.00001180979,0.001971485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.746975,"threshold_uncertainty_score":0.9991123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003770680358739147,"score_gpt":0.1967213580521168,"score_spread":0.1929506776933776,"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."}}