{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001095104,0.00008524342,0.000116723,0.00004532358,0.00001703834,0.000005951565,0.00006053679,0.00004107632,0.002531334],"category_scores_gemma":[0.00003678395,0.0000763219,0.00003784031,0.0001009049,0.000008694603,0.00003302609,0.00001015028,0.00007669205,0.00002824733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002725206,"about_ca_system_score_gemma":0.000001567715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002012687,"about_ca_topic_score_gemma":0.000007875254,"domain_scores_codex":[0.9993805,0.00004353735,0.0001981103,0.0001148846,0.0001382062,0.0001247153],"domain_scores_gemma":[0.9995694,0.0001710158,0.00001937733,0.0001839701,0.00002219054,0.00003407127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000449301,0.0004892905,0.001521224,0.0003335715,0.0001063324,0.000002454855,0.0008428792,0.1276865,0.6569671,0.002177492,0.04360937,0.1662189],"study_design_scores_gemma":[0.000284199,0.0002039878,0.00175596,0.00003897458,0.0000112932,4.415872e-7,0.000006741411,0.5389327,0.4512382,0.0002149853,0.00719031,0.0001221958],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8143176,0.0004108911,0.152044,0.0001147094,0.00009269684,0.0002582723,0.000008533846,0.0002474108,0.03250597],"genre_scores_gemma":[0.9964761,0.00004460964,0.002426825,0.00002189233,0.00001158009,0.00000690029,0.000006903784,0.000009943305,0.0009952813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4112462,"threshold_uncertainty_score":0.9983805,"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."}}