{"id":"W2121590093","doi":"10.1109/te.2002.1024617","title":"Teaching transmission lines: a project of measurement and simulation","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Education","topic":"Power Line Communications and Noise","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Transmission line; Electric power transmission; Attenuation; Electrical impedance; Electronic engineering; Computer science; Characteristic impedance; Crosstalk; Network analyzer (electrical); Acoustics; Electrical engineering; Engineering; Telecommunications; Optics; Physics","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":[0.0001299309,0.00008900033,0.00008388518,0.0001827254,0.00009399245,0.00001070076,0.00006083503,0.0000455216,0.00003417905],"category_scores_gemma":[0.000004340457,0.00008934714,0.00003527355,0.0001315464,0.00001450551,0.0001353411,2.423745e-7,0.0001467114,0.000004590872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006022244,"about_ca_system_score_gemma":0.00002319255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004739388,"about_ca_topic_score_gemma":0.00001012855,"domain_scores_codex":[0.9994712,0.00003747629,0.0001951785,0.00009063724,0.0001302879,0.00007518029],"domain_scores_gemma":[0.9996254,0.00004041097,0.0000259569,0.0002083838,0.00006581729,0.00003406522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008958476,0.0005694033,0.000006746993,0.00013001,0.00002705076,3.606669e-8,0.003140524,0.1726543,0.01443112,0.00002658203,0.0002351873,0.8087701],"study_design_scores_gemma":[0.0003245547,0.00008613277,0.0002057549,0.0002266522,0.0000596007,0.000002876389,0.0003186876,0.9661887,0.01501186,0.00006876768,0.01731095,0.0001954907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1257901,0.001248601,0.8688849,0.0002697089,0.0004021181,0.0003913597,0.000006652801,0.0001879501,0.002818683],"genre_scores_gemma":[0.996601,0.0003596185,0.002794458,0.00001529265,0.00002479708,0.00004489816,0.000001754935,0.00001613208,0.0001419743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.870811,"threshold_uncertainty_score":0.3643471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04587865524637874,"score_gpt":0.2848614082916171,"score_spread":0.2389827530452384,"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."}}