{"id":"W2593856652","doi":"","title":"Series solutions of vector differential equations related to linear systems of algebraic equations","year":2006,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; Differential algebraic equation; Differential algebraic geometry; Independent equation; System of linear equations; Mathematical analysis; Algebraic equation; Series (stratigraphy); Numerical partial differential equations; Matrix (chemical analysis); Applied mathematics; Differential equation; Coefficient matrix; Simultaneous equations; Ordinary differential equation; Nonlinear system; Physics; Eigenvalues and eigenvectors","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":[0.0006439172,0.0007031112,0.0006030471,0.0009145336,0.0004252355,0.001464994,0.0006320372,0.0008390729,0.005251966],"category_scores_gemma":[0.002375017,0.0002766895,0.0005966895,0.001274738,0.001425598,0.001546391,0.001046973,0.001314502,0.000969346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000587943,"about_ca_system_score_gemma":0.000638129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006747231,"about_ca_topic_score_gemma":0.0006024497,"domain_scores_codex":[0.999574,0.0001386304,0.00002915182,0.00006313932,0.0001636432,0.00003137545],"domain_scores_gemma":[0.9995701,0.0001714662,0.00008848573,0.00003734307,0.0001094066,0.00002315195],"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":[0.00001305076,0.00001624143,0.0001700833,0.0001195619,0.0000128212,0.0001205596,0.0002221323,0.04507924,0.005475894,0.9338229,0.001395322,0.01355215],"study_design_scores_gemma":[0.0000164441,0.00004280406,0.0002026369,0.00003856988,0.00001059074,0.0003180608,0.000132941,0.4570282,0.003139948,0.5266005,0.01244035,0.00002894776],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03031283,0.001074529,0.9399399,0.0003679346,0.0003647595,0.00007693558,0.0001092727,0.0002450846,0.02750888],"genre_scores_gemma":[0.6550772,0.004716805,0.273567,0.0003901229,0.0006933439,0.0003987644,0.0006158632,0.0003800681,0.06416079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005251966,"threshold_uncertainty_score":0.0175696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685217902138745,"score_gpt":0.277506417797654,"score_spread":0.2606542387762665,"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."}}