{"id":"W1989321973","doi":"10.1109/iceaa.2009.5297512","title":"The time-domain method of weighted residuals (MWR): Moving from grid-based methods to node-based meshless techniques","year":2009,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Regularized meshless method; Computer science; Meshfree methods; Grid; Flexibility (engineering); Domain (mathematical analysis); Node (physics); Computational science; Algorithm; Singular boundary method; Mathematical optimization; Applied mathematics; Mathematics; Geometry; Mathematical analysis; Finite element method; Engineering; Structural engineering","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":[0.001185315,0.0007512165,0.0005858752,0.0006600092,0.0002180973,0.0007845841,0.001726571,0.0008642449,0.001952847],"category_scores_gemma":[0.00309376,0.0002878453,0.0005946788,0.000768342,0.001125431,0.001623377,0.001179807,0.001567041,0.001137016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502991,"about_ca_system_score_gemma":0.0006461593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102615,"about_ca_topic_score_gemma":0.0008636247,"domain_scores_codex":[0.9992892,0.0002617589,0.0000348945,0.00008176496,0.0003031312,0.00002917344],"domain_scores_gemma":[0.9991887,0.0003151599,0.00009911046,0.0001758185,0.0001864021,0.00003473548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007964453,0.00006314615,0.0006434149,0.0004312224,0.00007222144,0.0001380602,0.0002438875,0.2003689,0.02357074,0.4542708,0.004970232,0.3151477],"study_design_scores_gemma":[0.00003102195,0.0001157385,0.0002213366,0.00005044839,0.00002188489,0.0001644805,0.00003542065,0.8703362,0.00697254,0.0804683,0.04153026,0.00005239303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008429756,0.0002649223,0.9977869,0.0000614368,0.00008100939,0.00001184446,0.00001073726,0.0001057623,0.0008344277],"genre_scores_gemma":[0.04930631,0.001366532,0.9438254,0.0001389594,0.000204687,0.0001058957,0.0001016367,0.0003546138,0.004595983],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001952847,"threshold_uncertainty_score":0.006532967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026834353635953,"score_gpt":0.324787877541901,"score_spread":0.3145195340055415,"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."}}