{"id":"W2987735280","doi":"10.1155/2019/9030565","title":"Rational Spectral Collocation Combined with the Singularity Separated Method for a System of Singularly Perturbed Boundary Value Problems","year":2019,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Differential Equations and Numerical Methods","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"North Minzu University; Natural Science Foundation of Ningxia Province","keywords":"Mathematics; Collocation (remote sensing); Singularity; Mathematical analysis; Boundary value problem; Singular boundary method; Boundary (topology); Collocation method; Transformation (genetics); Spectral method; Applied mathematics; Ordinary differential equation; Differential equation; Computer science; Physics; Boundary element method","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":[0.001738137,0.0002445035,0.0005918379,0.0001238749,0.00007334571,0.00008413215,0.0002204182,0.0001170175,0.00002520626],"category_scores_gemma":[0.0005177656,0.0001625454,0.0001131152,0.0004840539,0.00006003504,0.0001256629,0.00003912294,0.0002326245,0.000003644611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450654,"about_ca_system_score_gemma":0.00007570339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000118349,"about_ca_topic_score_gemma":0.000005026511,"domain_scores_codex":[0.9981945,0.000155499,0.0006766486,0.0002771904,0.0003798502,0.0003163351],"domain_scores_gemma":[0.9973483,0.001857653,0.0002162527,0.000347686,0.0001715975,0.00005851167],"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":[0.00008344909,0.0003989063,0.00003880644,0.00591689,0.0001326743,6.536499e-7,0.001386716,0.0944076,0.01505828,0.8823491,0.00002627907,0.0002006144],"study_design_scores_gemma":[0.001065574,0.0003306727,0.00006153268,0.0007697581,0.00007839219,0.00001117992,0.0001177334,0.8419765,0.001412214,0.1538967,0.00006403663,0.0002156754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03424203,0.00003092601,0.9625357,0.0002222274,0.00008881021,0.002330743,0.00001012495,0.0001075545,0.0004318251],"genre_scores_gemma":[0.5750558,2.890201e-7,0.4244951,0.000007871525,0.00002225497,0.0002596398,0.00001092098,0.00003893886,0.0001092031],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7475689,"threshold_uncertainty_score":0.6628407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342265664231846,"score_gpt":0.2928927386764603,"score_spread":0.2694700820341418,"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."}}