{"id":"W2163729623","doi":"10.1109/aps.2003.1217562","title":"An improved multi-port network model for multi-layer planar circuits","year":2004,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Planar; Electronic circuit; Port (circuit theory); Layer (electronics); Computer network; Electronic engineering; Electrical engineering; Engineering; Materials science; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001304832,0.0001864579,0.0001896943,0.00003428693,0.00009217587,0.00002443479,0.000170349,0.0001239215,0.00003361724],"category_scores_gemma":[0.00001090102,0.0001741943,0.00007078131,0.00008109089,0.000015489,0.0001484589,0.00001059692,0.0001381569,0.000008588919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005659925,"about_ca_system_score_gemma":0.00003523252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004689273,"about_ca_topic_score_gemma":0.000674394,"domain_scores_codex":[0.9989632,0.000008593182,0.0002437901,0.0002711893,0.00008048696,0.0004327224],"domain_scores_gemma":[0.9994284,0.00002159754,0.00001919092,0.0003504673,0.00003788554,0.0001424716],"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":[0.00001584143,0.0001659179,0.0001415064,0.00005461929,0.00002076418,0.000001432314,0.0003177339,0.8378377,0.1560503,0.0002433478,0.0004090688,0.004741767],"study_design_scores_gemma":[0.00154072,0.0001398765,0.001150512,0.00001798168,0.00001511642,0.000002370653,0.00001268745,0.985454,0.01069266,0.0006716438,0.0000559517,0.0002465032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3591287,0.0001226058,0.6395181,0.00001950146,0.0001328972,0.0004163581,0.00001134579,0.0004310878,0.0002194431],"genre_scores_gemma":[0.8575575,0.00001055983,0.1418516,0.00007408719,0.00009161593,0.0000620037,0.00003846584,0.00003947454,0.0002746181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4984288,"threshold_uncertainty_score":0.7103438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04124488620744665,"score_gpt":0.2720923431748744,"score_spread":0.2308474569674277,"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."}}