{"id":"W2068617904","doi":"10.1109/ursi-emts.2010.5637164","title":"Padé approximations in inverse homogenization and numerical simulation of electromagnetic fields in composites","year":2010,"lang":"en","type":"article","venue":"","topic":"Composite Material Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Science Foundation","keywords":"Homogenization (climate); Convolution (computer science); Composite number; Mathematical analysis; Electromagnetic field; Maxwell's equations; Materials science; Mathematics; Composite material; Physics; Computer science","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":[0.00005053704,0.00006564862,0.0001028753,0.000135189,0.000009109466,0.00001415115,0.00004198667,0.00007190579,0.00007006633],"category_scores_gemma":[0.00002726448,0.00007228809,0.000009318401,0.000233158,0.000008097902,0.00007439624,0.00001770009,0.0001015743,0.000003288599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001400845,"about_ca_system_score_gemma":0.00000434507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004923957,"about_ca_topic_score_gemma":0.0007092501,"domain_scores_codex":[0.9995801,0.00001407941,0.0001846298,0.00007751774,0.0000525107,0.00009111451],"domain_scores_gemma":[0.999791,0.00005975355,0.00001536662,0.00009536618,0.00001685231,0.00002162039],"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":[0.000005204976,0.00002887244,0.003141986,0.00004052467,0.000002243644,3.473026e-7,0.0002882648,0.2072583,0.7872525,0.001260462,0.000004118936,0.0007171992],"study_design_scores_gemma":[0.0002284293,0.00002776299,0.01032049,0.000008126895,0.000003473627,0.000001492315,0.000008569144,0.9660901,0.02249823,0.0007025409,0.00003044322,0.00008037052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308655,0.000008097168,0.06850553,0.00002018722,0.00007883032,0.0001332513,0.000001271391,0.00005106011,0.0003362351],"genre_scores_gemma":[0.9861605,0.000003747986,0.01377854,0.00000856228,0.00001137234,0.000006563193,0.0000138841,0.000009649869,0.000007242385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7647542,"threshold_uncertainty_score":0.2947823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006404214555602803,"score_gpt":0.2079017955636853,"score_spread":0.2014975810080825,"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."}}