{"id":"W2112286074","doi":"10.1109/mwsym.1991.147206","title":"A high level compiler for the electromagnetic modeling of complex circuits by geometrical partitioning","year":2002,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Compiler; Computer science; Decomposition; Parallel computing; Compiler construction; Electronic circuit; Data structure; Optimizing compiler; Loop optimization; Method of moments (probability theory); Computational science; Programming language; Electrical engineering; Engineering; Mathematics","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":[0.00009484753,0.000114117,0.0002080797,0.00006524467,0.0001704632,0.00003916807,0.0001705336,0.00002020617,0.002844794],"category_scores_gemma":[0.000007198979,0.00008454142,0.0001432963,0.0003493168,0.00003625211,0.00003254774,0.0000191806,0.00008387242,0.00001384103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009157381,"about_ca_system_score_gemma":0.00000584716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004456322,"about_ca_topic_score_gemma":0.000002698564,"domain_scores_codex":[0.9990976,0.00002057688,0.0002610274,0.0001825358,0.0001459605,0.000292228],"domain_scores_gemma":[0.9994236,0.0002070609,0.00006680481,0.0001835335,0.00007394617,0.00004507356],"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":[0.00003183167,0.00203974,0.009872401,0.0000994082,0.001899314,7.138635e-7,0.0005915821,0.06363253,0.4074988,0.06804878,0.1663715,0.2799134],"study_design_scores_gemma":[0.0006568631,0.0002520973,0.0005838066,0.000009121318,0.0001570034,7.846523e-7,0.00008261468,0.9915261,0.003856881,0.002141469,0.0005447994,0.0001884923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3898595,0.0003119784,0.604563,0.0012557,0.0000337861,0.0002189806,0.00007925629,0.00003430208,0.0036435],"genre_scores_gemma":[0.9963712,0.000006024806,0.001692529,0.00008963268,0.0001022562,0.00004884924,0.00004438959,0.00001302923,0.00163211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9278935,"threshold_uncertainty_score":0.9980667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06161017352322704,"score_gpt":0.2466968958850937,"score_spread":0.1850867223618666,"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."}}