{"id":"W2995690442","doi":"10.3934/dcdss.2020196","title":"Pseudospectral discretization of delay differential equations in &lt;i&gt;sun-star&lt;/i&gt; formulation: Results and conjectures","year":2019,"lang":"en","type":"article","venue":"Discrete and Continuous Dynamical Systems - S","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Discretization; Gauss pseudospectral method; Mathematics; Ordinary differential equation; Formalism (music); Infimum and supremum; Differential equation; Mathematical analysis; Delay differential equation; Differential operator; Pseudospectral optimal control; Pseudo-spectral method; Applied mathematics; Fourier transform","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004003647,0.0003268404,0.000812748,0.0001867632,0.0001108168,0.0001168563,0.0001688555,0.0002448242,0.00002769019],"category_scores_gemma":[0.0006189223,0.0002688854,0.0001307355,0.0002979788,0.0001358192,0.0002218127,0.0001047837,0.0002080019,0.000003281461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006707316,"about_ca_system_score_gemma":0.00002878112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001561801,"about_ca_topic_score_gemma":0.0004373931,"domain_scores_codex":[0.9971519,0.000365635,0.001126535,0.0005169772,0.0004370704,0.0004018939],"domain_scores_gemma":[0.9978079,0.001061119,0.0004527132,0.0003937036,0.0001267295,0.0001578345],"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":[0.000348398,0.0001948738,0.00346809,0.0003912322,0.0001456411,0.000004197941,0.001277358,0.000126662,0.03583107,0.955717,0.0000231746,0.002472262],"study_design_scores_gemma":[0.009161249,0.001086366,0.08151419,0.001096775,0.0005485515,0.00004150283,0.0005860538,0.7193532,0.0004379708,0.1842396,0.0004284396,0.001506109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7782269,0.0002465434,0.2189361,0.0001168892,0.0002670169,0.001060742,0.0001945943,0.00006517884,0.0008860721],"genre_scores_gemma":[0.9950427,0.00002642168,0.003851117,0.000008396006,0.00008036939,0.00005909714,0.0002183257,0.00004263805,0.0006708787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7714775,"threshold_uncertainty_score":0.9999763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522982465589878,"score_gpt":0.278265245918302,"score_spread":0.2630354212624032,"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."}}