{"id":"W1489151388","doi":"10.1109/mwscas.1992.271093","title":"A comparison of microstrip line discontinuity models with measured data","year":2003,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Classification of discontinuities; Microstrip; Discontinuity (linguistics); Scattering parameters; Scattering; Equivalent circuit; Line (geometry); Dielectric; Electronic engineering; Mathematical analysis; Computer science; Algorithm; Physics; Mathematics; Optics; Engineering; Electrical engineering; Geometry; Optoelectronics; Voltage","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":[0.001151289,0.0006086731,0.0004065614,0.001152958,0.0002190708,0.001288985,0.001956929,0.0009795174,0.004209603],"category_scores_gemma":[0.005220631,0.0003248404,0.0008549287,0.001066187,0.0002224802,0.001313123,0.000371261,0.000486689,0.001306166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068237,"about_ca_system_score_gemma":0.0004576881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002543672,"about_ca_topic_score_gemma":0.001418288,"domain_scores_codex":[0.9988438,0.0002341022,0.0000762847,0.0001635204,0.000643137,0.00003918891],"domain_scores_gemma":[0.997924,0.000940519,0.0001188152,0.0004492891,0.0005416395,0.00002571898],"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":[0.0008835348,0.0003304453,0.007383245,0.0005912389,0.0001773792,0.0003589102,0.0003103341,0.7635981,0.04273573,0.01445248,0.004245854,0.1649328],"study_design_scores_gemma":[0.00004525797,0.0001556548,0.001448898,0.00004001795,0.00003524116,0.00015861,0.00003808974,0.9706876,0.02114435,0.001345722,0.004872442,0.00002831088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.156201,0.0005562273,0.8214423,0.0002745137,0.0001443044,0.0001251797,0.002161504,0.007251096,0.011844],"genre_scores_gemma":[0.9092648,0.0004687969,0.08286668,0.0000631635,0.00002308314,0.0001671617,0.003032309,0.000515884,0.003598129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004209603,"threshold_uncertainty_score":0.01408255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06855538933303534,"score_gpt":0.2899782815161046,"score_spread":0.2214228921830692,"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."}}