{"id":"W2159127696","doi":"10.1109/mwsym.2009.5165695","title":"Towards the development of unconditionally stable time-domain meshless numerical methods","year":2009,"lang":"en","type":"article","venue":"","topic":"Numerical methods in engineering","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Regularized meshless method; Interpolation (computer graphics); Polygon mesh; Stability (learning theory); Conformal map; Numerical stability; Applied mathematics; Computer science; Numerical analysis; Domain (mathematical analysis); Mathematical optimization; Point (geometry); Algorithm; Mathematics; Singular boundary method; Finite element method; Mathematical analysis; Geometry; Image (mathematics); Physics; Artificial intelligence","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":[0.001949289,0.0004380504,0.0005292136,0.000549678,0.0003367964,0.0008542048,0.001652275,0.001069712,0.001420864],"category_scores_gemma":[0.004962445,0.0003421856,0.0005493857,0.000369803,0.001023809,0.001139383,0.001736522,0.00169171,0.0008167272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003939611,"about_ca_system_score_gemma":0.0007232067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004959007,"about_ca_topic_score_gemma":0.0003909969,"domain_scores_codex":[0.9990851,0.0002976993,0.00004851102,0.00005340056,0.0004774811,0.00003785031],"domain_scores_gemma":[0.9985555,0.0005425299,0.0001382014,0.0002744751,0.0004313321,0.00005794398],"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":[0.00007526244,0.00006779614,0.000747284,0.0003093751,0.00003049419,0.000119265,0.0003797657,0.3703508,0.03307667,0.4818746,0.002084984,0.1108837],"study_design_scores_gemma":[0.000008347433,0.00001692313,0.0000422865,0.00001577262,0.000002936163,0.00002397152,0.000007817316,0.9789692,0.00267323,0.01459528,0.003637597,0.000006621708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001891958,0.00008091339,0.9968315,0.00005579406,0.00001983373,0.0000139353,0.000006059534,0.00009384926,0.001006268],"genre_scores_gemma":[0.1040089,0.0003665636,0.892682,0.0000849909,0.00004566048,0.0001526005,0.00004583132,0.00012505,0.002488519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001949289,"threshold_uncertainty_score":0.01030898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231016286058038,"score_gpt":0.3072049094808222,"score_spread":0.2848947466202418,"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."}}