{"id":"W2793413909","doi":"10.1109/temc.2018.2791342","title":"Worst-Case Crosstalk Measurements of Cables—The Multinetwork Analyzer Method","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Electromagnetic Compatibility","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Department of National Defence","funders":"Keysight Technologies","keywords":"Balun; Ethernet; Electronic engineering; Crosstalk; Engineering; Network analyzer (electrical); Electromagnetic interference; Spectrum analyzer; Twisted pair; Electrical engineering; Bandwidth (computing); Computer science; Computer hardware; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007422341,0.000816642,0.0003087499,0.0008476321,0.0005276657,0.000595101,0.0006365642,0.0005373035,0.001236076],"category_scores_gemma":[0.001462895,0.0002154529,0.000172272,0.0009613865,0.0003796841,0.0009361638,0.0007264409,0.0004697931,0.0003612076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007569492,"about_ca_system_score_gemma":0.0003302399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006210482,"about_ca_topic_score_gemma":0.001426117,"domain_scores_codex":[0.9979857,0.0005675484,0.00007765784,0.0004219847,0.0008081452,0.0001389126],"domain_scores_gemma":[0.9989887,0.0002622383,0.0002197155,0.0002011921,0.0002836562,0.00004449452],"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":[0.0007755788,0.0001624906,0.02205166,0.0002314021,0.0001581148,0.0005669955,0.0006305134,0.04109727,0.7450355,0.009265941,0.001534882,0.1784897],"study_design_scores_gemma":[0.00003551947,0.0009082104,0.01807611,0.00005341183,0.0001000246,0.002014801,0.0003151604,0.3166357,0.6486007,0.0035286,0.009598109,0.0001335634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.382728,0.000540234,0.6040591,0.0001417183,0.00009610233,0.00006717725,0.0002076274,0.001291721,0.01086839],"genre_scores_gemma":[0.9307844,0.000227763,0.06706274,0.0000656361,0.00002507127,0.0000505339,0.0001267216,0.00006288806,0.001594302],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001236076,"threshold_uncertainty_score":0.005492091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435877990732791,"score_gpt":0.2746127779360998,"score_spread":0.2502539980287719,"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."}}