{"id":"W2593290476","doi":"10.1109/antem.2004.7860712","title":"Characterization of a transient wave reflected from a lossy half space using numerical inversion of laplace transform","year":2004,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Laplace transform; Inversion (geology); Correctness; Dielectric; Lossy compression; Inverse Laplace transform; Transient (computer programming); Algorithm; Laplace transform applied to differential equations; Two-sided Laplace transform; Mathematical analysis; Transient analysis; Computer science; Optics; Mathematics; Transient response; Physics; Geology; Engineering; Fourier transform","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":[0.0003709911,0.0002630188,0.000290744,0.0005105126,0.0002077442,0.0006142412,0.0003861269,0.0003680931,0.001376797],"category_scores_gemma":[0.00100234,0.0001130568,0.0003042853,0.0002996617,0.0005381918,0.000911627,0.0002900696,0.0003855349,0.0003184061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147384,"about_ca_system_score_gemma":0.0002753405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002264013,"about_ca_topic_score_gemma":0.0001497723,"domain_scores_codex":[0.9998535,0.00001748317,0.000007123227,0.00001817274,0.00008721508,0.00001647259],"domain_scores_gemma":[0.9996085,0.0001853409,0.00004599555,0.00004611709,0.00009491777,0.00001913006],"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":[0.0005474958,0.0001531746,0.003534796,0.0002100675,0.00003937277,0.0007783332,0.0006911194,0.05028586,0.7941014,0.0492305,0.0005743608,0.09985352],"study_design_scores_gemma":[0.00002903716,0.0003084363,0.002365606,0.00002024177,0.00001929005,0.001032892,0.0002987354,0.7559172,0.2304482,0.007462079,0.002058945,0.00003932747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1668139,0.0001073449,0.8292099,0.00006116064,0.00002575739,0.00003381156,0.00003784007,0.0002824658,0.003427815],"genre_scores_gemma":[0.851253,0.0002587325,0.1448402,0.00003318962,0.00001991866,0.00005330897,0.0001363147,0.00008982622,0.003315514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001376797,"threshold_uncertainty_score":0.004605889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100203243043535,"score_gpt":0.225700659248905,"score_spread":0.2146986268184696,"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."}}