{"id":"W4407361735","doi":"10.23919/emc.2002.10879851","title":"Characterizing the Statistics of Electromagnetic Interference in Complex Topologies","year":2002,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Manitoba","funders":"","keywords":"Interference (communication); Electromagnetic interference; Network topology; Computer science; Statistics; Topology (electrical circuits); Electronic engineering; Telecommunications; Mathematics; Electrical engineering; Engineering; Computer network","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":[0.00002411418,0.00004031126,0.00005910314,0.00002617795,0.000008578144,0.00000738163,0.00006738707,0.00001474507,0.0005746147],"category_scores_gemma":[0.00001306641,0.00002854303,0.000006214259,0.0000702852,0.00002719424,0.00002854083,0.000007708943,0.00004572996,0.000009628542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008559253,"about_ca_system_score_gemma":8.299916e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008608936,"about_ca_topic_score_gemma":0.00001808419,"domain_scores_codex":[0.9997467,0.000009777333,0.0001022085,0.00003393506,0.00002617388,0.00008117655],"domain_scores_gemma":[0.9998754,0.00003715984,0.00001037248,0.00006042702,0.00001027624,0.000006314608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001990844,0.0001032066,0.004541189,0.0001940402,0.00004081318,0.00001185517,0.005671623,0.009856429,0.8757466,0.04306259,0.01215257,0.04859915],"study_design_scores_gemma":[0.00007582704,0.00005300242,0.01104303,0.000007806048,0.000002203174,0.000001815848,0.0001506247,0.985649,0.002663915,0.0002042047,0.00009164009,0.00005695333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.12848,0.0003359237,0.845897,0.0003164059,0.0001015846,0.0001913003,0.00001092286,0.0001928786,0.02447398],"genre_scores_gemma":[0.9923176,0.0002385184,0.007219928,0.00003877723,0.000004958265,0.000002320541,0.000003016241,0.000004340432,0.0001705507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9757925,"threshold_uncertainty_score":0.6291628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03168256281931834,"score_gpt":0.2123606061364907,"score_spread":0.1806780433171723,"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."}}