{"id":"W4387129759","doi":"10.1109/temc.2023.3312773","title":"Indefinite Impedance Matrix Techniques for Power Integrity Analysis of Multilayered Printed Circuits","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Electromagnetic Compatibility","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Power integrity; Printed circuit board; Electronic circuit; Decoupling capacitor; Electronic engineering; Planar; Conductor; Electrical impedance; Capacitor; Decoupling (probability); High impedance; Partial element equivalent circuit; Parameterized complexity; Equivalent circuit; Signal integrity; Engineering; Computer science; Materials science; Electrical engineering; Voltage; Algorithm","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":[0.0003753126,0.0007898404,0.000292668,0.000638658,0.000206186,0.000552167,0.0005975144,0.0004656061,0.002518536],"category_scores_gemma":[0.00107534,0.0002556937,0.0004330501,0.0004400977,0.0003814781,0.001062892,0.0004099215,0.0008563754,0.0007925331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003308831,"about_ca_system_score_gemma":0.0003332616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006439016,"about_ca_topic_score_gemma":0.0009350931,"domain_scores_codex":[0.9997703,0.00005588491,0.00001066358,0.00002331021,0.0001266679,0.00001321588],"domain_scores_gemma":[0.9996054,0.0001844986,0.00005958995,0.00005850162,0.00008041204,0.0000115994],"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":[0.0000723937,0.00007151728,0.0005853077,0.0003551999,0.0000562803,0.0002960789,0.0002287564,0.3999918,0.2505423,0.1420051,0.001652433,0.2041429],"study_design_scores_gemma":[0.000005870959,0.00003815228,0.0001483392,0.00001156217,0.00000671664,0.00009983614,0.00001930784,0.9716957,0.01417692,0.009751577,0.00403373,0.00001229275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002085404,0.00006559233,0.996675,0.00001696617,0.000006942411,0.000009597757,0.00001306609,0.0001760369,0.0009514225],"genre_scores_gemma":[0.2117239,0.0006323715,0.7824957,0.00004669287,0.00003536475,0.000116652,0.0001323432,0.0001902229,0.004626688],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002518536,"threshold_uncertainty_score":0.008425355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972948645777926,"score_gpt":0.2830762030886758,"score_spread":0.2633467166308965,"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."}}