{"id":"W4378842207","doi":"10.23919/eucap57121.2023.10133309","title":"Analysis of Moving Bodies with the FDTD Method","year":2023,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Finite-difference time-domain method; Physics; Acoustics; Observer (physics); Oblique case; Optics; Electromagnetic radiation; Amplitude; Transversal (combinatorics); Time domain; Point (geometry); Mathematical analysis; Computer science; Mathematics; Geometry; Computer vision","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":[0.0002388891,0.00004675545,0.0001295572,0.0001296614,0.00001996414,0.000005964113,0.00005695044,0.00001454159,0.0002126228],"category_scores_gemma":[0.00002847658,0.00002562531,0.00004671657,0.001309173,0.0000133952,0.00001522464,0.000009077074,0.00004028136,0.000008329802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004447983,"about_ca_system_score_gemma":0.00000208511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001494111,"about_ca_topic_score_gemma":0.00001802222,"domain_scores_codex":[0.9996446,0.0000436821,0.00008107667,0.00005441442,0.00008442679,0.00009176944],"domain_scores_gemma":[0.9993285,0.0005095662,0.00001087221,0.0001169291,0.00001765031,0.00001650031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005089433,0.00000412361,0.002627999,0.00001576528,0.0008848891,9.053016e-7,0.0005838903,0.9215129,0.01106113,0.00110479,0.0007452234,0.06145328],"study_design_scores_gemma":[0.00004750712,0.0000259025,0.03788097,0.000001427992,0.0002210508,1.780009e-7,0.0001356617,0.9569708,0.003500748,0.00008713021,0.001079109,0.00004956529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1834603,0.0001406043,0.7780792,0.0005096609,0.00003593578,0.00007791883,0.000001416236,0.0005033846,0.03719151],"genre_scores_gemma":[0.922667,0.00002119336,0.07579586,0.00006708581,0.000009962798,0.000006892223,0.000001985207,0.00001050545,0.001419572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7392066,"threshold_uncertainty_score":0.2328071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536167965012316,"score_gpt":0.3002221322259729,"score_spread":0.2848604525758497,"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."}}