{"id":"W2594250977","doi":"","title":"Modeling of plane-wave incidence on a twisted-wire pair bundle for RF ingress estimation in digital subscriber line systems","year":2006,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Digital subscriber line; EMI; Twisted pair; Bundle; Electromagnetic interference; Asymmetric digital subscriber line; Transmission line; Conductor; Electronic engineering; Crosstalk; Electric power transmission; Line (geometry); Acoustics; Electrical engineering; Computer science; Engineering; Topology (electrical circuits); Telecommunications; Physics; Materials science; Mathematics","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":[0.0001021962,0.0002147619,0.0002605618,0.0003891242,0.00004728555,0.00004022761,0.0001840394,0.0002394114,0.000002865519],"category_scores_gemma":[0.00003082145,0.000217724,0.00003582885,0.0002546702,0.00008377666,0.00006739431,0.00003452571,0.0002869882,0.000002322243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008344984,"about_ca_system_score_gemma":0.00001267989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002361285,"about_ca_topic_score_gemma":0.00003914552,"domain_scores_codex":[0.9987634,0.000006122788,0.0004545938,0.0002983638,0.0001954278,0.0002820806],"domain_scores_gemma":[0.9995185,0.000120326,0.00006891607,0.0001838465,0.00008073517,0.00002763754],"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":[0.0005955192,0.000698506,0.0008201877,0.0002171115,0.00004961774,0.00001280585,0.00009325764,0.3940626,0.5266375,0.07373253,0.00008641429,0.002993922],"study_design_scores_gemma":[0.0007586281,0.001218779,0.0001463363,0.0002027073,0.00001142797,0.00003386526,0.00002772539,0.9455264,0.04293462,0.008887462,0.0000433759,0.0002087196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894161,0.000264501,0.007902779,0.0003623168,0.000128309,0.0004320298,0.00004721364,0.0002108621,0.001235866],"genre_scores_gemma":[0.9989979,0.0000476859,0.0005956712,0.00001796044,0.00004124996,0.0001026825,0.0001047045,0.00002579205,0.00006636875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5514637,"threshold_uncertainty_score":0.8878527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007335509630082995,"score_gpt":0.2074832070535597,"score_spread":0.2001476974234767,"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."}}