{"id":"W7133084006","doi":"","title":"Analysis of radio frequency interference in digital subscriber line systems","year":2007,"lang":"","type":"dissertation","venue":"TSpace","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Digital subscriber line; Electromagnetic interference; Crosstalk; Interference (communication); Bundle; Twisted pair; Electromagnetic field; Numerical analysis; Noise (video)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004143745,0.0005947626,0.001516344,0.001842799,0.00004041316,0.0001007325,0.0004672037,0.0005981451,0.0008121345],"category_scores_gemma":[0.0002387505,0.0006467595,0.0004083185,0.003125896,0.00006564179,0.0002371351,0.0000408446,0.0008583732,0.00002379493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002828226,"about_ca_system_score_gemma":0.0001071641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003245738,"about_ca_topic_score_gemma":0.004379735,"domain_scores_codex":[0.9967685,0.00007334872,0.001439456,0.0006655189,0.0004428196,0.0006103553],"domain_scores_gemma":[0.9979238,0.0004685571,0.0003684211,0.0008085578,0.0002662339,0.0001644243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001895903,0.002364005,0.1944764,0.01416937,0.00902669,0.000216934,0.1194627,0.3197528,0.3140318,0.002448676,0.000198961,0.02195592],"study_design_scores_gemma":[0.001869023,0.001530027,0.1556115,0.006790588,0.004830837,0.00001092916,0.009953627,0.7846892,0.03171378,0.0003611249,0.00004926564,0.002590134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775103,0.009159006,0.001636911,0.00001540684,0.0007035633,0.0004886472,0.00005231921,0.00005460615,0.01037928],"genre_scores_gemma":[0.9945736,0.0003854838,0.0001131398,0.000001424358,0.00006898344,0.00002091624,0.001080939,0.00005558419,0.00369991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4649364,"threshold_uncertainty_score":0.9995984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514627468958166,"score_gpt":0.3042697683451231,"score_spread":0.2891234936555415,"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."}}