{"id":"W1497469375","doi":"10.1109/epeps.2014.7103642","title":"Non-intrusive pseudo spectral approach for stochastic macromodeling of EM systems using deterministic full-wave solvers","year":2014,"lang":"en","type":"article","venue":"","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Robustness (evolution); Computer science; Interpolation (computer graphics); Stochastic process; Polynomial chaos; Algorithm; Mathematical optimization; Stochastic modelling; Galerkin method; Spectral method; Mathematics; Monte Carlo method; Finite element method; Engineering; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002152175,0.0002465756,0.0006167254,0.0002533997,0.0001520385,0.0001704104,0.0005016543,0.0001287577,0.00002551018],"category_scores_gemma":[0.001682984,0.0001805542,0.0001943533,0.000321596,0.0001073132,0.0001329525,0.00008590567,0.0001165918,0.00001136628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000759446,"about_ca_system_score_gemma":0.0001138934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000249188,"about_ca_topic_score_gemma":0.000002006978,"domain_scores_codex":[0.997267,0.00006175701,0.0008986777,0.0005838931,0.000730496,0.0004581495],"domain_scores_gemma":[0.997272,0.001364532,0.0002993454,0.000579831,0.0003217348,0.0001625874],"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":[0.00005009205,0.00003341207,0.000006795377,0.0000706479,0.00002429816,0.000001324243,0.0003555201,0.9889783,0.002443028,0.007455232,0.0001281303,0.0004531984],"study_design_scores_gemma":[0.000450817,0.0001752956,0.00001179653,0.00004571921,0.00005966884,0.00005589883,0.001012778,0.9933144,0.0001499457,0.004478663,0.000007093491,0.000237945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06502407,0.00002156097,0.9329805,0.000006840105,0.0006131385,0.0006196923,0.00001809322,0.00004730333,0.0006687546],"genre_scores_gemma":[0.8165601,2.635994e-7,0.1829757,0.0000115331,0.0001865836,0.00002263618,0.000003235021,0.00002367287,0.0002162748],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.751536,"threshold_uncertainty_score":0.7362785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110685092731576,"score_gpt":0.3144500660584012,"score_spread":0.2037649733268252,"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."}}