{"id":"W2143506473","doi":"10.1109/pacrim.1991.160680","title":"Calculation of losses on printed circuit board by finite element method","year":2002,"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 Ottawa","funders":"","keywords":"Dielectric; Printed circuit board; Finite element method; Attenuation; Electrical conductor; Thermal conduction; Skin effect; Electronic engineering; Computer science; Materials science; Electrical engineering; Acoustics; Optoelectronics; Physics; Engineering; Composite material; Optics; Structural engineering","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":[0.0003019042,0.000811992,0.0008060699,0.0007088266,0.0003793009,0.0007391171,0.001136706,0.0008609224,0.006463407],"category_scores_gemma":[0.001274217,0.0005194016,0.0005215227,0.0005479272,0.0002662102,0.001019973,0.000322873,0.0007070327,0.002969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005508072,"about_ca_system_score_gemma":0.0005184149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434523,"about_ca_topic_score_gemma":0.001409241,"domain_scores_codex":[0.9997211,0.0000363671,0.00001047756,0.00002791885,0.0001783062,0.00002582638],"domain_scores_gemma":[0.9995648,0.0001881846,0.00002817464,0.00005595607,0.0001494059,0.00001343207],"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":[0.00002702736,0.00005606719,0.0003628912,0.0001704737,0.00003041728,0.0001086546,0.00009805532,0.9225495,0.02373691,0.01236986,0.001923717,0.03856638],"study_design_scores_gemma":[0.000005642583,0.0000148116,0.0001351955,0.00001169265,0.000006439044,0.000034915,0.00001241667,0.9881992,0.006142408,0.001600237,0.003828692,0.000008285214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.015747,0.0001237038,0.9726996,0.00005889894,0.00004642461,0.00004912866,0.0001721971,0.0014231,0.009679974],"genre_scores_gemma":[0.4439555,0.0006351675,0.5201402,0.00009788053,0.00003570166,0.0004673707,0.0009473783,0.001099882,0.03262092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006463407,"threshold_uncertainty_score":0.02162224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189976881393851,"score_gpt":0.2438794413119699,"score_spread":0.2248817531725848,"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."}}