{"id":"W2166240160","doi":"10.1109/aps.2006.1710920","title":"Derivation and numerical solution of a dispersion relation for TLM subgridded meshes","year":2006,"lang":"en","type":"article","venue":"2006 IEEE Antennas and Propagation Society International Symposium","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Polygon mesh; Dispersion (optics); Dispersion relation; Relation (database); Mechanics; Computer science; Applied mathematics; Mathematics; Physics; Optics; Geometry","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":[0.0005099101,0.0002984233,0.0003020983,0.0007698345,0.0003766431,0.0007638355,0.0007080552,0.0009151829,0.001971259],"category_scores_gemma":[0.003034019,0.0002391969,0.0003193795,0.0004208253,0.0005132366,0.0009620502,0.0009201374,0.0008444332,0.0006107055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006591323,"about_ca_system_score_gemma":0.0004075026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150219,"about_ca_topic_score_gemma":0.001665049,"domain_scores_codex":[0.9997126,0.0000488725,0.00002101251,0.00003757211,0.0001545101,0.00002544813],"domain_scores_gemma":[0.9993721,0.0002620167,0.00006448849,0.0001109684,0.0001733999,0.00001716536],"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":[0.00008469421,0.00006780948,0.002471187,0.000243479,0.00003191414,0.000447371,0.0007910338,0.5731518,0.09549051,0.2318422,0.002014148,0.09336384],"study_design_scores_gemma":[0.000004312413,0.00001234265,0.0002071071,0.00001633175,0.000002533822,0.00005097294,0.0000367827,0.9816751,0.005295979,0.009754969,0.00293609,0.000007530901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02714778,0.000280224,0.9656487,0.0001493716,0.00005326809,0.00004451973,0.00008288873,0.0001867951,0.006406571],"genre_scores_gemma":[0.5442009,0.0005330244,0.4443413,0.0001588115,0.00005549024,0.000182948,0.0002534146,0.000332438,0.009941673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001971259,"threshold_uncertainty_score":0.006594479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009108647717528695,"score_gpt":0.2397647684083523,"score_spread":0.2306561206908236,"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."}}