{"id":"W2282404933","doi":"10.2528/pier15090403","title":"THE TIME-HARMONIC DISCONTINUOUS GALERKIN METHOD AS A ROBUST FORWARD SOLVER FOR MICROWAVE IMAGING APPLICATIONS","year":2015,"lang":"en","type":"article","venue":"Electromagnetic waves","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Discontinuous Galerkin method; Microwave; Solver; Microwave imaging; Harmonic; Galerkin method; Computer science; Physics; Mathematics; Mathematical optimization; Acoustics; Finite element method; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005445868,0.0002755514,0.0002818261,0.000110086,0.0002443276,0.0002602395,0.0003870349,0.00004879193,0.00002662733],"category_scores_gemma":[0.00006306559,0.0002273244,0.0002045643,0.0002749618,0.00008302182,0.0000840215,0.00004573358,0.0002055987,0.0001712309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001118652,"about_ca_system_score_gemma":0.0000614349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003672592,"about_ca_topic_score_gemma":0.00001784636,"domain_scores_codex":[0.9984008,0.00006346682,0.00033397,0.0003455475,0.0001767864,0.0006794325],"domain_scores_gemma":[0.998938,0.0002315634,0.00006184613,0.0005068285,0.00009631462,0.0001654486],"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":[0.00003130772,0.0000441195,0.00003341862,0.00005910203,0.000310471,0.000005609958,0.0005465666,0.003244873,0.8196235,0.0004856403,0.0681865,0.1074289],"study_design_scores_gemma":[0.001727426,0.0003265953,0.0001615869,0.00005850154,0.0007226647,0.0003350968,0.0005447955,0.5301496,0.1567962,0.01874433,0.2890756,0.00135763],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04464673,0.01988241,0.9056652,0.005383305,0.0003595713,0.001769671,0.00004003985,0.001266442,0.02098669],"genre_scores_gemma":[0.7841313,0.000346514,0.1834365,0.0004795263,0.0008888004,0.001385387,0.0001506525,0.000345157,0.02883619],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7394845,"threshold_uncertainty_score":0.927002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008383066406408414,"score_gpt":0.2327425832203433,"score_spread":0.2243595168139349,"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."}}