{"id":"W2116150215","doi":"10.1109/mwsym.1992.188219","title":"New 3D TLM condensed node structures for improved simulation of conductor strips","year":2003,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"STRIPS; Node (physics); Conductor; Microstrip; Transmission line; Embedding; Line (geometry); Computer science; Set (abstract data type); Topology (electrical circuits); Electrical conductor; Electric power transmission; Electronic engineering; Electrical engineering; Physics; Materials science; Algorithm; Engineering; Acoustics; Mathematics; Telecommunications; Composite material; Geometry; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00009461382,0.0001051807,0.0001744797,0.00004625783,0.00002216451,0.000009942198,0.00004798148,0.00006741585,0.0007992143],"category_scores_gemma":[0.0003024291,0.00009514322,0.00005000914,0.0001196874,0.00001160514,0.00004280743,0.000002668146,0.00006758905,0.000001571716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001791057,"about_ca_system_score_gemma":0.00002432967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008245983,"about_ca_topic_score_gemma":0.00000182499,"domain_scores_codex":[0.9994122,0.00003729045,0.0002276611,0.0001060504,0.00006227868,0.0001545529],"domain_scores_gemma":[0.9992228,0.0004846666,0.00003375504,0.0001270703,0.00006003291,0.00007166874],"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":[0.00003043264,0.000008118641,0.00003938687,0.00003950359,0.00003864648,6.886857e-8,0.00006937285,0.4111566,0.5632719,0.003080548,0.0006068306,0.02165858],"study_design_scores_gemma":[0.001226695,0.0001277969,0.0005650634,0.00000260072,0.00002078876,5.522216e-7,0.00001385691,0.780064,0.2077473,0.004488004,0.005589277,0.0001540067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09920029,0.0001052804,0.8970117,0.00001660225,0.000244479,0.0003061468,0.000006500348,0.0001382534,0.002970761],"genre_scores_gemma":[0.7417069,0.000001770873,0.2576618,0.00005547089,0.0000277008,0.000002948883,0.0000051215,0.00001771967,0.0005205405],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6425066,"threshold_uncertainty_score":0.8750836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513489250812179,"score_gpt":0.2963826526121697,"score_spread":0.2712477601040479,"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."}}