{"id":"W1959077860","doi":"10.1109/mwsym.1994.335370","title":"Direct derivation of the TLM symmetrical condensed node from Maxwell's equations using centered differencing and averaging","year":2002,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Discretization; Maxwell's equations; Node (physics); Mathematical analysis; Matrix (chemical analysis); Mathematics; Scattering; Applied mathematics; Space (punctuation); Field (mathematics); Physics; Topology (electrical circuits); Computer science; Pure mathematics; Combinatorics; Quantum mechanics; Materials science","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":[0.0003612646,0.0002998727,0.0003903001,0.0004278898,0.000216439,0.000442663,0.0008423759,0.0004758786,0.004340638],"category_scores_gemma":[0.00122738,0.0002169115,0.0005591172,0.0003922064,0.0003817764,0.001109568,0.0007114265,0.000670403,0.001596341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000498688,"about_ca_system_score_gemma":0.0009267777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001529469,"about_ca_topic_score_gemma":0.002564626,"domain_scores_codex":[0.999804,0.00003350194,0.000009972131,0.00002090307,0.0001217338,0.000009897217],"domain_scores_gemma":[0.9997793,0.00006404856,0.00001795681,0.00004150081,0.00008628338,0.00001084223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002263471,0.00004189059,0.0005085896,0.0002499936,0.00002697928,0.000327095,0.0002784176,0.1784848,0.02546149,0.6967489,0.006838408,0.09101083],"study_design_scores_gemma":[0.000009723316,0.00002689424,0.0001788082,0.00002190874,0.000007858771,0.0001877862,0.0000251749,0.902854,0.005471533,0.06832955,0.02287082,0.00001603024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003586812,0.0001172537,0.9865893,0.0001148559,0.000122085,0.00003272491,0.0001044404,0.0001571809,0.009175374],"genre_scores_gemma":[0.1971902,0.0009790482,0.770533,0.0005078823,0.0001748268,0.0002683459,0.0005816198,0.0004896292,0.02927544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004340638,"threshold_uncertainty_score":0.01452094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04859059052707347,"score_gpt":0.2435714065321038,"score_spread":0.1949808160050303,"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."}}