{"id":"W4404688017","doi":"10.1109/lawp.2024.3505270","title":"A 2-D Parameter-Optimized Spatial Finite-Difference Temporal Differential Method With Dispersion-Controllable Properties","year":2024,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Dispersion (optics); Finite difference method; Finite difference; Differential (mechanical device); Mathematical analysis; Mathematics; Applied mathematics; Control theory (sociology); Physics; Computer science; Optics","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":[0.0002559413,0.0003243796,0.0003008819,0.0002352675,0.0002582444,0.0003884316,0.0008638626,0.0006185439,0.002217922],"category_scores_gemma":[0.000569369,0.0002363523,0.0002909767,0.0003000597,0.0003244157,0.0006054732,0.0004869742,0.0005672295,0.0004544846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000378504,"about_ca_system_score_gemma":0.0007962852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248706,"about_ca_topic_score_gemma":0.001802363,"domain_scores_codex":[0.9998904,0.00002081458,0.000006723154,0.00001480555,0.00005899201,0.000008186961],"domain_scores_gemma":[0.9998224,0.00007301398,0.00002128886,0.00002331207,0.00004572162,0.00001416669],"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":[0.0002216727,0.0001528495,0.002583937,0.0007170778,0.00007057724,0.0004685954,0.0003115856,0.5901068,0.1470318,0.07710655,0.005543878,0.1756846],"study_design_scores_gemma":[0.00001644239,0.00001890029,0.000068887,0.000007512755,0.000004170152,0.00006364562,0.000007364987,0.9913062,0.004173783,0.001040675,0.003283516,0.000008772461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01527604,0.000334572,0.978358,0.0001880059,0.0001068296,0.00005488142,0.00007893675,0.0002191644,0.005383558],"genre_scores_gemma":[0.2455701,0.0003792043,0.7480499,0.0001642732,0.00004697333,0.0002460147,0.0001861401,0.0001434817,0.00521397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002217922,"threshold_uncertainty_score":0.007419705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221457829759044,"score_gpt":0.2304658012508548,"score_spread":0.2182512229532643,"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."}}