{"id":"W2139802201","doi":"10.1109/mwsym.2001.967314","title":"Lumped and distributed device embedding techniques in time domain TLM field models","year":2002,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Embedding; Spice; Computer science; Electronic engineering; Electronic circuit; Field (mathematics); Domain (mathematical analysis); Topology (electrical circuits); Time domain; Algorithm; Mathematics; Engineering; Electrical engineering; Artificial intelligence; Mathematical analysis","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":[0.0003572261,0.0004508355,0.000269445,0.0004167848,0.0001813183,0.0004337082,0.0006521402,0.0005559174,0.002687442],"category_scores_gemma":[0.0008595224,0.0002638446,0.0005831915,0.000403046,0.0004310337,0.00152056,0.0005378262,0.0005746854,0.0005660566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002935995,"about_ca_system_score_gemma":0.0001617721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003071021,"about_ca_topic_score_gemma":0.0005670573,"domain_scores_codex":[0.9998398,0.00005305072,0.000009607557,0.00001925565,0.00006827259,0.000009943732],"domain_scores_gemma":[0.9997692,0.0001004569,0.00003053977,0.00006311974,0.00003174965,0.000005022426],"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":[0.00007703911,0.00006095917,0.0003453016,0.0003222299,0.00004640604,0.0001861489,0.0002454404,0.640489,0.05323598,0.2128818,0.0009719195,0.09113774],"study_design_scores_gemma":[0.000009583268,0.00005946696,0.00007821609,0.0000271042,0.00001471641,0.0001581792,0.00002290597,0.9527387,0.01320298,0.02752565,0.006150029,0.00001248061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005002064,0.000219212,0.991533,0.00005643348,0.0000215491,0.00001586315,0.00001840031,0.000173578,0.002959887],"genre_scores_gemma":[0.4905623,0.001575459,0.4917614,0.0001405585,0.00006646433,0.0002101274,0.0001053783,0.0001903482,0.01538785],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002687442,"threshold_uncertainty_score":0.008990407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573978059021849,"score_gpt":0.2662574207835511,"score_spread":0.2505176401933326,"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."}}