{"id":"W2799646609","doi":"10.1109/access.2018.2830352","title":"Longitudinally Uniform Transmission Lines With Frequency-Enabled Mode Conversion","year":2018,"lang":"en","type":"article","venue":"IEEE Access","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada); Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electric power transmission; Transmission line; Broadband; Microstrip; Electromagnetic field; Computer science; Thread (computing); Mode (computer interface); Transmission (telecommunications); Acoustics; Physics; Microwave; Electronic engineering; Telecommunications; Electrical engineering; Optics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001263825,0.0002125932,0.00009320102,0.0002137204,0.0001408631,0.0002995966,0.0003467737,0.0002030408,0.0009047441],"category_scores_gemma":[0.000353304,0.0001205186,0.000109279,0.0002420782,0.0003085633,0.0004551239,0.0002096259,0.0001962345,0.0003354354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002476091,"about_ca_system_score_gemma":0.0001169682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001749674,"about_ca_topic_score_gemma":0.0003388434,"domain_scores_codex":[0.9999044,0.00001484273,0.000005449223,0.00002331475,0.00004048344,0.00001140151],"domain_scores_gemma":[0.9997265,0.00005860722,0.0001223517,0.00003685027,0.00004480511,0.00001086412],"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":[0.0001255182,0.00004530524,0.001586626,0.0001576851,0.00001216497,0.0002784989,0.0002188101,0.005907357,0.9168336,0.03424032,0.0007213393,0.03987294],"study_design_scores_gemma":[0.00007791473,0.0007870407,0.004061929,0.00003740351,0.00003837631,0.001674241,0.0001316661,0.1665731,0.7910656,0.007938558,0.02757052,0.00004353008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6309339,0.000568276,0.3512117,0.0001702596,0.00004336705,0.00006063513,0.0001609084,0.0006803319,0.01617064],"genre_scores_gemma":[0.9231434,0.000282996,0.07387129,0.00003793395,0.00002447575,0.00005349606,0.00008116033,0.00003005319,0.002475223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009047441,"threshold_uncertainty_score":0.003026664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498535874334026,"score_gpt":0.2465403580516969,"score_spread":0.2315549993083566,"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."}}